* installing *source* package 'beanz' ...
** using staged installation
Warning in .make_numeric_version(x, strict, .standard_regexps()$valid_numeric_version) :
  invalid non-character version specification 'x' (type: double)
Warning in .make_numeric_version(x, strict, .standard_regexps()$valid_numeric_version) :
  invalid non-character version specification 'x' (type: double)
Warning in .make_numeric_version(x, strict, .standard_regexps()$valid_numeric_version) :
  invalid non-character version specification 'x' (type: double)
Warning in .make_numeric_version(x, strict, .standard_regexps()$valid_numeric_version) :
  invalid non-character version specification 'x' (type: double)
Warning in .make_numeric_version(x, strict, .standard_regexps()$valid_numeric_version) :
  invalid non-character version specification 'x' (type: double)
Warning in .make_numeric_version(x, strict, .standard_regexps()$valid_numeric_version) :
  invalid non-character version specification 'x' (type: double)
Warning in .make_numeric_version(x, strict, .standard_regexps()$valid_numeric_version) :
  invalid non-character version specification 'x' (type: double)
** libs
Warning: this package has a non-empty 'configure.win' file,
so building only the main architecture

using C++ compiler: 'g++.exe (GCC) 12.2.0'
using C++17


Warning in .make_numeric_version(x, strict, .standard_regexps()$valid_numeric_version) :
  invalid non-character version specification 'x' (type: double)
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1  -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"  -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -D_HAS_AUTO_PTR_ETC=0     -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:30,
                 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<Packet4f> { 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<Packet2d> { 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<Packet4i> { 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<Offset,Packet4f>
      |                                   ^
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<Offset,Packet4i>
      |                                   ^
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<Offset,Packet2d>
      |                                   ^
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<Packet4f,4>& 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<Packet2d,2>& 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<Packet4i,4>& 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<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
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<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
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<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
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<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
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<float, 4>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
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<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<float>::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<float>::type' {aka '__m128'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::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<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
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<float>::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<double, 4>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
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<double>::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:31:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
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<double>::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<int, -1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<int>::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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
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<int>::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::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
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<int>::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::Matrix<int, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
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<int>::type' {aka '__m128i'} [-Wignored-attributes]


Warning in .make_numeric_version(x, strict, .standard_regexps()$valid_numeric_version) :
  invalid non-character version specification 'x' (type: double)
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1  -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"  -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -D_HAS_AUTO_PTR_ETC=0     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c stanExports_bs.cc -o stanExports_bs.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\stanheaders\include\stan\math\prim\fun\eigen.hpp:22,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:1,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_bs.h:20,
                 from stanExports_bs.cc:5:
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<Packet4f> { 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<Packet2d> { 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<Packet4i> { 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<Offset,Packet4f>
      |                                   ^
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<Offset,Packet4i>
      |                                   ^
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<Offset,Packet2d>
      |                                   ^
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<Packet4f,4>& 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<Packet2d,2>& 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<Packet4i,4>& 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<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
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<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
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<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
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<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
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<float, 4>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
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<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<float>::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<float>::type' {aka '__m128'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::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<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
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<float>::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<double, 4>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/shared_ptr.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/time_clock.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:4:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  361 |     explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
      |                                 ^~~~~~~~
In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\memory:76,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:7:
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:250:65: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  250 | template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R >
      |                                                                 ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:507:31: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  507 |     explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
      |                               ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:520:22: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  520 |     shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
      |                      ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:603:34: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  603 |     shared_ptr & operator=( std::auto_ptr<Y> & r )
      |                                  ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:612:34: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  612 |     shared_ptr & operator=( std::auto_ptr<Y> && r )
      |                                  ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr<T>& boost::shared_ptr<T>::operator=(std::auto_ptr<_Up>&&)':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:614:38: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  614 |         this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
      |                                      ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
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/rstan/include/rstan/stan_args.hpp:12,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:20:
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<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<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_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                     -
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
      |     -
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\stanheaders\include\stan\math\prim\fun\eigen.hpp:23:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
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<double>::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<int, -1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<int>::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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
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<int>::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::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
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<int>::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::Matrix<int, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
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<int>::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<double, -1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/typedefs.hpp:12:72:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/typedefs.hpp:12:72:   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<double>::type' {aka '__m128d'} [-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<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:281:19:   required from 'class Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:36:26:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:36:34:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun.hpp:110,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:8,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:35:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/generalized_inverse.hpp: In function 'Eigen::Matrix<typename stan::value_type<T>::type, EigMat::ColsAtCompileTime, EigMat::RowsAtCompileTime> stan::math::generalized_inverse(const EigMat&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/generalized_inverse.hpp:34:9: warning: typedef 'using value_t = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   34 |   using value_t = value_type_t<EigMat>;
      |         ^~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/identity_matrix.hpp:19:35:   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<double>::type' {aka '__m128d'} [-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::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49:   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<double>::type' {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::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_int_array.hpp:41:49:   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<int>::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::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28:   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<double>::type' {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::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53:   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<double>::type' {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::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72:   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<double>::type' {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::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:33:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:25:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:25:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:35:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:115:33:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun.hpp:319:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tail.hpp: In function 'std::vector<T> stan::math::tail(const std::vector<T>&, size_t)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tail.hpp:46:9: warning: typedef 'using idx_t = stan::math::index_type_t<std::vector<T> >' locally defined but not used [-Wunused-local-typedefs]
   46 |   using idx_t = index_type_t<std::vector<T>>;
      |         ^~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19:   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<double>::type' {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<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30:   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<double>::type' {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<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/traits.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:27,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/vector.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint.hpp:25,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp: At global scope:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  111 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_algobase.h:65,
                 from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\specfun.h:45,
                 from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\cmath:1935,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/r/headers.h:62,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/RcppCommon.h:30,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:27,
                 from stanExports_bs.cc:3:
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  149 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  204 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/invoke.hpp:52,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/adapter/fused.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/generation/make_fused.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/include/make_fused.hpp:11,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:28,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/get_pointer.hpp:48:40: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
   48 | template<class T> T * get_pointer(std::auto_ptr<T> const& p)
      |                                        ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:54:9:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:103:16:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:112:28:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:117:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:32:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp: In lambda function:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:83:11: warning: typedef 'using Block_ = class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>' locally defined but not used [-Wunused-local-typedefs]
   83 |     using Block_ = Eigen::Block<Eigen::MatrixXd>;
      |           ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:61:39:   required from 'class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:143:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Map<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:145:6:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:643:29:   required from 'class stan::math::vari_value<Eigen::Matrix<double, -1, 1>, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:408:48:   required from 'const auto& stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::val() const [with T = Eigen::Matrix<double, -1, 1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_corr_constrain.hpp:44:33:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:43:17:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:34:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp: In function 'stan::math::var_value<Eigen::Matrix<double, -1, -1> > stan::math::cholesky_factor_constrain(const T&, int, int)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:32:9: warning: typedef 'using T_scalar = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   32 |   using T_scalar = value_type_t<T>;
      |         ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:50:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:46:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:23:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:36:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:62:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:71:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:73:41:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:45:15:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:42:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:110:66:   required from 'stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)> [with auto:19 = const Eigen::Matrix<stan::math::var_value<double>, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>; Args = {const Eigen::Matrix<stan::math::var_value<double, void>, -1, -1, 0, -1, -1>&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:108:21:   required from 'auto stan::math::value_of_rec(T&&) [with T = const Eigen::Matrix<var_value<double>, -1, -1>&; <template-parameter-1-2> = void; <template-parameter-1-3> = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:83:31:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:56:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:61:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:71:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/generalized_inverse.hpp: In function 'auto stan::math::generalized_inverse(const VarMat&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/generalized_inverse.hpp:64:9: warning: typedef 'using value_t = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   64 |   using value_t = value_type_t<VarMat>;
      |         ^~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:12:   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<double>::type' {aka '__m128d'} [-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::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:54:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:56:   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<double>::type' {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<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:45:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:46:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:11:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:12:   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<double>::type' {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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -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<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -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::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::Array<double, -1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -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::Array<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:37:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:33:   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<double>::type' {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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:40:   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<double>::type' {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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:58:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:58:74:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:59:22:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:59:30:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > > >'
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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:59:30:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:230:47:   required from 'struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:41:59:   required from 'struct Eigen::EigenBase<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7:   required from 'class Eigen::DiagonalBase<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:245:7:   required from 'class Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:53:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:41:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:15:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:72:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:73:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:36:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:61:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:58:75:   required from 'stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)> [with auto:23 = const Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>; Args = {const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:56:21:   required from 'auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_not_st_arithmetic<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:96:37:   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<double>::type' {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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/functor/idas_forward_system.hpp:148:16:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:13:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:59:9: warning: typedef 'using T_y_val = std::conditional_t<stan::is_vector<T2>::value, Eigen::Matrix<typename stan::partials_return_type<T_y>::type, -1, 1>, typename stan::partials_return_type<T_y>::type>' locally defined but not used [-Wunused-local-typedefs]
   59 |   using T_y_val =
      |         ^~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:31:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:50:9: warning: typedef 'using T_partials_matrix = class Eigen::Matrix<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   50 |   using T_partials_matrix = Eigen::Matrix<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:37:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::beta_proportion_lpdf(const T_y&, const T_loc&, const T_prec&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_lpdf.hpp:55:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   55 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/categorical_logit_glm_lpmf.hpp:143:15:   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<double>::type' {aka '__m128d'} [-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::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/cumulative_sum.hpp:56:49:   required from 'auto stan::math::cumulative_sum(const EigVec&) [with EigVec = Eigen::Matrix<double, -1, 1>; stan::require_eigen_vector_t<C>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/categorical_logit_rng.hpp:37:41:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:63:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::cauchy_lpdf(const T_y&, const T_loc&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_lpdf.hpp:45:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   45 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:74:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp: In function 'stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:60:9: warning: typedef 'using T_partials_vec = struct Eigen::Matrix<typename stan::partials_return_type<T_n, T_prob>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   60 |   using T_partials_vec = typename Eigen::Matrix<T_partials_return, -1, 1>;
      |         ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:42:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:42:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:26:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:91:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::double_exponential_lpdf(const T_y&, const T_loc&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_lpdf.hpp:44:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   44 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:111:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/frechet_cdf.hpp: In function 'stan::return_type_t<T_x, T_sigma, T_l> stan::math::frechet_cdf(const T_y&, const T_shape&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/frechet_cdf.hpp:30:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   30 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 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::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 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::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 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::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41:   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<double>::type' {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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51:   recursively required by substitution of 'template<int Side, class Other> const Eigen::internal::triangular_solve_retval<Side, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Other> Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase<U>&) const [with int Side = <missing>; Other = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32:   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<double>::type' {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<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43:   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<double>::type' {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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 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::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 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::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52:   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<double>::type' {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<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:46:43:   required from 'stan::math::as_array_or_scalar<const std::vector<int>&>(const std::vector<int>&)::<lambda(auto:6&)> [with auto:6 = const std::vector<int>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar<const std::vector<int>&>(const std::vector<int>&)::<lambda(auto:6&)>; Args = {const std::vector<int, std::allocator<int> >&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:46:21:   required from 'auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector<int>&; stan::require_std_vector_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:36:45:   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<int>::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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:55:   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<int>::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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50:   required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:28:   recursively required by substitution of 'template<class ThenDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select(const Eigen::DenseBase<Derived>&, const typename ThenDerived::Scalar&) const [with ThenDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:28:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:52:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:60:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:132:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:138:17:   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<int>::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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:16:   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<int>::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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:71:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::log1m_exp_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log1m_exp.hpp:83:53:   required from 'auto stan::math::log1m_exp(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:59:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:79:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:143:34:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:143:34:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:140:58:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:140:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:23:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.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<double>::type' {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<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:167:33:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:169:50:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:245:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_lpmf.hpp: In function 'stan::return_type_t<T_shared_param, T_job_param> stan::math::ordered_logistic_lpmf(const T_y&, const T_loc&, const T_cut&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_lpmf.hpp:76:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_loc, T_cut>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   76 |   using T_partials_array = Eigen::Array<T_partials_return, -1, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:277:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp:62:9: warning: typedef 'using T_alpha_val = std::conditional_t<stan::is_vector<T_prob>::value, Eigen::Array<typename stan::partials_return_type<T_cut>::type, -1, 1>, typename stan::partials_return_type<T_cut>::type>' locally defined but not used [-Wunused-local-typedefs]
   62 |   using T_alpha_val = typename std::conditional_t<
      |         ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:26:22:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::type' {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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::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<double, 1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:124:17:   required from 'auto stan::math::to_matrix(const std::vector<T>&, int, int) [with T = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   recursively required by substitution of 'template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >::dot(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:62:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:66:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:60:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:18:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:55:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:36:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing.hpp:8,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/model_header.hpp:15,
                 from stanExports_bs.h:22:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/lvalue_varmat.hpp: In function 'void stan::model::assign(Mat1&&, const cons_index_list<index_multi, cons_index_list<index_multi, nil_index_list> >&, const Mat2&, const char*, int)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/lvalue_varmat.hpp:349:9: warning: typedef 'using pair_type = struct std::pair<int, std::vector<int, stan::math::arena_allocator<int> > >' locally defined but not used [-Wunused-local-typedefs]
  349 |   using pair_type = std::pair<int, arena_vec>;
      |         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
stanExports_bs.h: In member function 'virtual void model_bs_namespace::model_bs::transform_inits(const stan::io::var_context&, std::vector<int>&, std::vector<double>&, std::ostream*) const':
stanExports_bs.h:173:24: warning: typedef 'local_scalar_t__' locally defined but not used [-Wunused-local-typedefs]
  173 |         typedef double local_scalar_t__;
      |                        ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_bs.h:336:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_bs.h:336:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:30:13:   required from 'auto stan::math::multiply(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_bs.h:514:109:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:30:13:   required from 'auto stan::math::multiply(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_bs.h:514:109:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/subtract.hpp:94:21:   required from 'auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; <template-parameter-1-3> = void; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_bs.h:514:100:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/subtract.hpp:94:32:   required from 'auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; <template-parameter-1-3> = void; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_bs.h:514:100:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/add.hpp:48:14:   required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, 1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
stanExports_bs.h:514:59:   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<double>::type' {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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:34&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/exp.hpp:62:46:   required from 'auto stan::math::exp(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_bs.h:514:55:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/add.hpp:88:13:   required from 'auto stan::math::add(Scal, const Mat&) [with Scal = double; Mat = Eigen::Matrix<double, -1, 1>; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<S>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
stanExports_bs.h:522:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/add.hpp:88:32:   required from 'auto stan::math::add(Scal, const Mat&) [with Scal = double; Mat = Eigen::Matrix<double, -1, 1>; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<S>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
stanExports_bs.h:522:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50:   required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:52:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long unsigned int]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:96:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:73:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<long long unsigned int> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   73 |     for (int i = 0; i < dims.size(); i++) {
      |                     ~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long int]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:117:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:73:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<long long unsigned int> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]':
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1238:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1238 |     int ret = stan::services::error_codes::CONFIG;
      |         ^~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:34:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_2F1_converges.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err.hpp:4,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/profiling.hpp:9,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core.hpp:54,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:29:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:22:31:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:47:30:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, -1, -1> >(const char*, const char*, const Eigen::Matrix<double, -1, -1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, -1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:74:30:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, -1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:89:22: warning: comparison of integer expressions of different signedness: 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare]
   89 |   if (p_names.size() != draws.cols()) {
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:107:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare]
  107 |   for (size_t i = 0; i < draws.rows(); ++i) {
      |                      ~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:111:65:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:19:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_cholesky_factor.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err.hpp:7:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp: In instantiation of 'static void stan::math::internal::less_or_equal<T_y, T_high, is_vec>::check(const char*, const char*, const T_y&, const T_high&) [with T_y = long long unsigned int; T_high = long long int; bool is_vec = false]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:74:74:   required from 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&) [with T_y = long long unsigned int; T_high = long long int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:78:36:   required from 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:117:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:23:15: warning: comparison of integer expressions of different signedness: 'const long long unsigned int' and 'long long int' [-Wsign-compare]
   23 |       if (!(y <= high_vec[n])) {
      |            ~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:56:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_bs.h:336:109:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {aka '__m128d'} [-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::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:64:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_bs.h:336:109:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_bs.h:336:109:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:150:39:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_bs.h:336:109:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:26:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_bs.h:336:109:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:40:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_bs.h:336:109:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:58:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_bs.h:336:109:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_bs.h:336:109:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:172:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_bs.h:336:109:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:13:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_bs.h:336:100:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:21:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_bs.h:336:100:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:24:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_bs.h:336:100:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   recursively required by substitution of 'template<class OtherDerived> static std::true_type stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >::f(const Eigen::EigenBase<Derived>*) [with OtherDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from 'struct stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:21:7:   recursively required by substitution of 'template<class T> struct stan::plain_type<T, typename std::enable_if<stan::math::conjunction<stan::is_var<T, void>, stan::is_eigen<typename stan::value_type<T, void>::type> >::value, void>::type> [with T = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:21:7:   required by substitution of 'template<class T> using plain_type_t = typename stan::plain_type<T>::type [with T = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:168:9:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_bs.h:336:100:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:172:47:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_bs.h:336:100:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:157:35:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_bs.h:336:59:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from 'struct stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:20:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8:   required from 'struct stan::is_any_var_matrix<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7:   required by substitution of 'template<class ReturnType, class ... Types> using return_var_matrix_t = std::conditional_t<stan::is_any_var_matrix<ReturnType, Types ...>::value, stan::math::var_value<typename stan::math::promote_scalar_type<double, typename stan::plain_type<T>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename stan::plain_type<T>::type, void>::type> [with ReturnType = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Types = {Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:158:9:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_bs.h:336:59:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:160:47:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_bs.h:336:59:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:162:61:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_bs.h:336:59:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:233:33:   required from 'auto stan::math::add(const Var&, const VarMat&) [with Var = var_value<double>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_var_vt<std::is_arithmetic, Var>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_bs.h:344:39:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:40:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:468:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:53:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:26:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::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<double, double, false, false>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:91:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:101:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:25:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_bs_namespace::model_bs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/model_header.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp: In instantiation of 'T stan::io::reader<T>::scalar() [with T = double]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:151:40:   required from 'T stan::io::reader<T>::scalar_constrain() [with T = double]'
stanExports_bs.h:468:42:   required from 'void model_bs_namespace::model_bs::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1091:23:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:26:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:139:14: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >::Index' {aka 'long long int'} [-Wsign-compare]
  139 |     if (pos_ >= data_r_.size()) {
      |         ~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
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::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:229:14:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:35:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1847 |             PacketBlock<Packet> 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<double>::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::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::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<double, long long int, 0, 0, 1>; 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/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
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<typename unpacket_traits<SResPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::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<double, 16>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]'
D:/RCompile/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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -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/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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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/LDLT.h:346:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:23:   required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor<model_bs_namespace::model_bs>; Scalar = double; XType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:28:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_bs_namespace::model_bs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {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<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:78:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_bs_namespace::model_bs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_bs_namespace::model_bs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_bs_namespace::model_bs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_bs_namespace::model_bs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_bs_namespace::model_bs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20:   required from 'void stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:25:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_bs_namespace::model_bs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp: In instantiation of 'T stan::io::reader<T>::scalar() [with T = stan::math::var_value<double>]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:164:56:   required from 'T stan::io::reader<T>::scalar_constrain(T&) [with T = stan::math::var_value<double>]'
stanExports_bs.h:285:43:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:139:14: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::Index' {aka 'long long int'} [-Wsign-compare]
  139 |     if (pos_ >= data_r_.size()) {
      |         ~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:58:75:   required from 'stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)> [with auto:23 = const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:65:31:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_bs.h:380:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_bs.h:380:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:87:62:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_bs.h:380:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:102:57:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_bs.h:380:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:104:39:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_bs.h:380:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:49:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_bs.h:380:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_bs.h:380:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/inv.hpp:55:55:   required from 'stan::math::inv<Eigen::Array<double, -1, 1> >(const Eigen::Array<double, -1, 1>&)::<lambda(const auto:7&)> [with auto:7 = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:84:68:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_bs.h:394:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:40:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_bs.h:394:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_bs.h:394:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Array<double, -1, 1> >(const Eigen::Array<double, -1, 1>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:95:20:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_bs.h:394:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_bs.h:394:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:45:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:266:7:   required from 'Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:365:25:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:24:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::Array<double, -1, 1>; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:22:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:74:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -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:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -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:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_bs.h:380:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/inv.hpp:55:55:   required from 'stan::math::inv<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(const auto:7&)> [with auto:7 = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_bs.h:394:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:40:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_bs.h:394:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_bs.h:394:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:104:39:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_bs.h:394:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:49:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_bs.h:394:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_bs.h:394:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_bs_namespace::model_bs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:84:30:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_bs.h:382:49:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<int>::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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:85:33:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_bs.h:382:49:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<int>::type' {aka '__m128i'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/assert.hpp:35,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:19,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size_type.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/functions.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:38:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint<Model>::failed() [with Model = boost::algorithm::FinderConcept<boost::algorithm::detail::token_finderF<boost::algorithm::detail::is_any_ofF<char> >, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:81:13:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull]
   65 |     static void failed() { ((Model*)0)->constraints(); }
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~^~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:26,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string.hpp:23,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:12:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept<FinderT, IteratorT>::constraints() [with FinderT = boost::algorithm::detail::token_finderF<boost::algorithm::detail::is_any_ofF<char> >; IteratorT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   40 |             void constraints()
      |                  ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:86:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -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/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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_bs.h:382:49:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<int>::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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_bs.h:382:49:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<int>::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::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/advi.hpp:223:11:   required from 'double stan::variational::advi<Model, Q, BaseRNG>::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_bs_namespace::model_bs; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/advi.hpp:468:13:   required from 'int stan::variational::advi<Model, Q, BaseRNG>::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_bs_namespace::model_bs; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:15:   required from 'int stan::services::experimental::advi::meanfield(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:886:18:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:69:16:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_bs.h:380:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:69:16:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_bs.h:394:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:70:15:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_bs.h:394:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:71:17:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_bs.h:394:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::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/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:70:15:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_bs.h:394:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:71:17:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_bs.h:394:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:111:35:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, false, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  351 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  352 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  353 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 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/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  385 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> 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<double>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:74:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_bs_namespace::model_bs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:86:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_bs_namespace::model_bs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_bs_namespace::model_bs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:90:38:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_bs.h:380:48:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::Array<int, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<int, -1, 1> >; Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::Array<int, -1, 1>; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<int, -1, 1>; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::Array<int, -1, 1>; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:84:10:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_bs.h:382:49:   required from 'T__ model_bs_namespace::model_bs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bs_namespace::model_bs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:23:88:   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<int>::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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:86:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 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/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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/util/BlasUtil.h:263:43:   required from 'Index Eigen::internal::blas_data_mapper<Scalar, Index, StorageOrder, AlignmentType, 1>::firstAligned(Index) const [with Scalar = const double; Index = long long int; int StorageOrder = 0; int AlignmentType = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:40:   required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  470 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
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/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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 8 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<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:118:14:   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<double>::type' {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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:503:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]'
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/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   60 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   61 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; 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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
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/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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> 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<double>::type' {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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:165:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:256:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:166:55:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:128:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:259:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:259:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::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<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; int ProductTag = 8; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Matrix<double, -1, -1, 1>, 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1, 1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1, 1>; 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_bs_namespace::model_bs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5:   required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:31:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5:   required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   required from 'bool boost::range::equal(const SinglePassRange1&, const SinglePassRange2&) [with SinglePassRange1 = boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; SinglePassRange2 = boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:644:32:   required from 'bool boost::operator==(const iterator_range<IteratorT>&, const iterator_range<Iterator2T>&) [with Iterator1T = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >; Iterator2T = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_iterator.hpp:359:32:   required from 'bool boost::algorithm::split_iterator<IteratorT>::equal(const boost::algorithm::split_iterator<IteratorT>&) const [with IteratorT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:649:26:   required from 'static bool boost::iterators::iterator_core_access::equal(const Facade1&, const Facade2&, mpl_::true_) [with Facade1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; Facade2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; mpl_::true_ = mpl_::bool_<true>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:981:3:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, typename boost::mpl::apply2<boost::iterators::detail::always_bool2, Derived1, Derived2>::type>::type boost::iterators::operator==(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; V1 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; TC1 = forward_traversal_tag; Reference1 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >&; Difference1 = long long int; Derived2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; V2 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; TC2 = forward_traversal_tag; Reference2 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >&; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, typename boost::mpl::apply2<detail::always_bool2, Derived1, Derived2>::type>::type = bool; typename boost::mpl::apply2<detail::always_bool2, Derived1, Derived2>::type = bool]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_adaptor.hpp:305:29:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-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::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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<double, 8>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 12 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 13 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -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/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 12 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_bs_namespace::model_bs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5:   required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::CopyConstructible<TT>::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  167 |     BOOST_CONCEPT_USAGE(CopyConstructible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::IncrementableIteratorConcept<Iterator>::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  136 |             BOOST_CONCEPT_USAGE(IncrementableIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5:   required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::EqualityComparable<TT>::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  233 |     BOOST_CONCEPT_USAGE(EqualityComparable) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<double, 4, 4, 1, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 15 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 14 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, 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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_bs_namespace::model_bs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:713:64:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_bs_namespace::model_bs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1, 1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1, 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<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 9 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 14 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<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:118:14:   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<double>::type' {aka '__m128d'} [-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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29:   [ skipping 14 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_bs_namespace::model_bs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:26:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
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/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 15 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 13 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
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:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::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<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; 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<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_bs_namespace::model_bs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_bs_namespace::model_bs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bs_namespace::model_bs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_bs_namespace::model_bs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_bs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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 20 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 22 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 31 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 29 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 28 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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 33 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -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<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 27 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_bs_namespace::model_bs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_bs_namespace::model_bs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_bs_namespace::model_bs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_bs_namespace::model_bs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_bs_namespace::model_bs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_bs_namespace::model_bs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {aka '__m128d'} [-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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 14 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_bs_namespace::model_bs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 17 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_bs_namespace::model_bs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_bs_namespace::model_bs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: warning: 'result' may be used uninitialized [-Wmaybe-uninitialized]
  225 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  226 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  227 |       (
      |       ^
  228 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  230 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |       );
      |       ~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:39:24: note: by argument 4 of type 'const double*' to 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' declared here
   39 | EIGEN_DONT_INLINE void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Version>::run(
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Warning in .make_numeric_version(x, strict, .standard_regexps()$valid_numeric_version) :
  invalid non-character version specification 'x' (type: double)
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1  -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"  -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -D_HAS_AUTO_PTR_ETC=0     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c stanExports_ds.cc -o stanExports_ds.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\stanheaders\include\stan\math\prim\fun\eigen.hpp:22,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:1,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_ds.h:20,
                 from stanExports_ds.cc:5:
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<Packet4f> { 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<Packet2d> { 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<Packet4i> { 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<Offset,Packet4f>
      |                                   ^
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<Offset,Packet4i>
      |                                   ^
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<Offset,Packet2d>
      |                                   ^
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<Packet4f,4>& 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<Packet2d,2>& 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<Packet4i,4>& 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<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
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<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
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<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
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<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
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<float, 4>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
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<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<float>::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<float>::type' {aka '__m128'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::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<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
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<float>::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<double, 4>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/shared_ptr.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/time_clock.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:4:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  361 |     explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
      |                                 ^~~~~~~~
In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\memory:76,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:7:
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:250:65: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  250 | template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R >
      |                                                                 ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:507:31: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  507 |     explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
      |                               ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:520:22: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  520 |     shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
      |                      ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:603:34: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  603 |     shared_ptr & operator=( std::auto_ptr<Y> & r )
      |                                  ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:612:34: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  612 |     shared_ptr & operator=( std::auto_ptr<Y> && r )
      |                                  ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr<T>& boost::shared_ptr<T>::operator=(std::auto_ptr<_Up>&&)':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:614:38: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  614 |         this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
      |                                      ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
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/rstan/include/rstan/stan_args.hpp:12,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:20:
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<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<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_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                     -
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
      |     -
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\stanheaders\include\stan\math\prim\fun\eigen.hpp:23:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
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<double>::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<int, -1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<int>::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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
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<int>::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::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
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<int>::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::Matrix<int, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
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<int>::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<double, -1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/typedefs.hpp:12:72:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/typedefs.hpp:12:72:   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<double>::type' {aka '__m128d'} [-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<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:281:19:   required from 'class Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:36:26:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:36:34:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun.hpp:110,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:8,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:35:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/generalized_inverse.hpp: In function 'Eigen::Matrix<typename stan::value_type<T>::type, EigMat::ColsAtCompileTime, EigMat::RowsAtCompileTime> stan::math::generalized_inverse(const EigMat&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/generalized_inverse.hpp:34:9: warning: typedef 'using value_t = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   34 |   using value_t = value_type_t<EigMat>;
      |         ^~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/identity_matrix.hpp:19:35:   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<double>::type' {aka '__m128d'} [-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::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49:   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<double>::type' {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::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_int_array.hpp:41:49:   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<int>::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::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28:   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<double>::type' {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::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53:   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<double>::type' {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::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72:   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<double>::type' {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::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:33:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:25:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:25:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:35:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:115:33:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun.hpp:319:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tail.hpp: In function 'std::vector<T> stan::math::tail(const std::vector<T>&, size_t)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tail.hpp:46:9: warning: typedef 'using idx_t = stan::math::index_type_t<std::vector<T> >' locally defined but not used [-Wunused-local-typedefs]
   46 |   using idx_t = index_type_t<std::vector<T>>;
      |         ^~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19:   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<double>::type' {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<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30:   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<double>::type' {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<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/traits.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:27,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/vector.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint.hpp:25,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp: At global scope:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  111 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_algobase.h:65,
                 from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\specfun.h:45,
                 from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\cmath:1935,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/r/headers.h:62,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/RcppCommon.h:30,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:27,
                 from stanExports_ds.cc:3:
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  149 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  204 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/invoke.hpp:52,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/adapter/fused.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/generation/make_fused.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/include/make_fused.hpp:11,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:28,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/get_pointer.hpp:48:40: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
   48 | template<class T> T * get_pointer(std::auto_ptr<T> const& p)
      |                                        ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:54:9:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:103:16:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:112:28:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:117:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:32:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp: In lambda function:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:83:11: warning: typedef 'using Block_ = class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>' locally defined but not used [-Wunused-local-typedefs]
   83 |     using Block_ = Eigen::Block<Eigen::MatrixXd>;
      |           ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:61:39:   required from 'class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:143:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Map<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:145:6:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:643:29:   required from 'class stan::math::vari_value<Eigen::Matrix<double, -1, 1>, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:408:48:   required from 'const auto& stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::val() const [with T = Eigen::Matrix<double, -1, 1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_corr_constrain.hpp:44:33:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:43:17:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:34:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp: In function 'stan::math::var_value<Eigen::Matrix<double, -1, -1> > stan::math::cholesky_factor_constrain(const T&, int, int)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:32:9: warning: typedef 'using T_scalar = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   32 |   using T_scalar = value_type_t<T>;
      |         ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:50:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:46:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:23:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:36:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:62:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:71:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:73:41:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:45:15:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:42:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:110:66:   required from 'stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)> [with auto:19 = const Eigen::Matrix<stan::math::var_value<double>, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>; Args = {const Eigen::Matrix<stan::math::var_value<double, void>, -1, -1, 0, -1, -1>&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:108:21:   required from 'auto stan::math::value_of_rec(T&&) [with T = const Eigen::Matrix<var_value<double>, -1, -1>&; <template-parameter-1-2> = void; <template-parameter-1-3> = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:83:31:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:56:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:61:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:71:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/generalized_inverse.hpp: In function 'auto stan::math::generalized_inverse(const VarMat&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/generalized_inverse.hpp:64:9: warning: typedef 'using value_t = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   64 |   using value_t = value_type_t<VarMat>;
      |         ^~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:12:   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<double>::type' {aka '__m128d'} [-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::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:54:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:56:   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<double>::type' {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<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:45:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:46:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:11:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:12:   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<double>::type' {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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -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<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -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::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::Array<double, -1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -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::Array<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:37:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:33:   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<double>::type' {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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:40:   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<double>::type' {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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:58:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:58:74:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:59:22:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:59:30:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > > >'
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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:59:30:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:230:47:   required from 'struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:41:59:   required from 'struct Eigen::EigenBase<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7:   required from 'class Eigen::DiagonalBase<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:245:7:   required from 'class Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:53:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:41:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:15:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:72:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:73:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:36:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:61:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:58:75:   required from 'stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)> [with auto:23 = const Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>; Args = {const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:56:21:   required from 'auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_not_st_arithmetic<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:96:37:   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<double>::type' {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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/functor/idas_forward_system.hpp:148:16:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:13:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:59:9: warning: typedef 'using T_y_val = std::conditional_t<stan::is_vector<T2>::value, Eigen::Matrix<typename stan::partials_return_type<T_y>::type, -1, 1>, typename stan::partials_return_type<T_y>::type>' locally defined but not used [-Wunused-local-typedefs]
   59 |   using T_y_val =
      |         ^~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:31:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:50:9: warning: typedef 'using T_partials_matrix = class Eigen::Matrix<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   50 |   using T_partials_matrix = Eigen::Matrix<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:37:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::beta_proportion_lpdf(const T_y&, const T_loc&, const T_prec&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_lpdf.hpp:55:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   55 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/categorical_logit_glm_lpmf.hpp:143:15:   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<double>::type' {aka '__m128d'} [-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::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/cumulative_sum.hpp:56:49:   required from 'auto stan::math::cumulative_sum(const EigVec&) [with EigVec = Eigen::Matrix<double, -1, 1>; stan::require_eigen_vector_t<C>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/categorical_logit_rng.hpp:37:41:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:63:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::cauchy_lpdf(const T_y&, const T_loc&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_lpdf.hpp:45:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   45 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:74:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp: In function 'stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:60:9: warning: typedef 'using T_partials_vec = struct Eigen::Matrix<typename stan::partials_return_type<T_n, T_prob>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   60 |   using T_partials_vec = typename Eigen::Matrix<T_partials_return, -1, 1>;
      |         ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:42:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:42:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:26:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:91:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::double_exponential_lpdf(const T_y&, const T_loc&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_lpdf.hpp:44:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   44 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:111:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/frechet_cdf.hpp: In function 'stan::return_type_t<T_x, T_sigma, T_l> stan::math::frechet_cdf(const T_y&, const T_shape&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/frechet_cdf.hpp:30:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   30 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 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::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 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::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 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::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41:   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<double>::type' {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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51:   recursively required by substitution of 'template<int Side, class Other> const Eigen::internal::triangular_solve_retval<Side, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Other> Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase<U>&) const [with int Side = <missing>; Other = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32:   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<double>::type' {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<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43:   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<double>::type' {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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 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::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 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::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52:   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<double>::type' {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<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:46:43:   required from 'stan::math::as_array_or_scalar<const std::vector<int>&>(const std::vector<int>&)::<lambda(auto:6&)> [with auto:6 = const std::vector<int>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar<const std::vector<int>&>(const std::vector<int>&)::<lambda(auto:6&)>; Args = {const std::vector<int, std::allocator<int> >&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:46:21:   required from 'auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector<int>&; stan::require_std_vector_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:36:45:   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<int>::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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:55:   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<int>::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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50:   required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:28:   recursively required by substitution of 'template<class ThenDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select(const Eigen::DenseBase<Derived>&, const typename ThenDerived::Scalar&) const [with ThenDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:28:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:52:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:60:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:132:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:138:17:   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<int>::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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:16:   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<int>::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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:71:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::log1m_exp_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log1m_exp.hpp:83:53:   required from 'auto stan::math::log1m_exp(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:59:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:79:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:143:34:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:143:34:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:140:58:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:140:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:23:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.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<double>::type' {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<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:167:33:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:169:50:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:245:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_lpmf.hpp: In function 'stan::return_type_t<T_shared_param, T_job_param> stan::math::ordered_logistic_lpmf(const T_y&, const T_loc&, const T_cut&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_lpmf.hpp:76:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_loc, T_cut>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   76 |   using T_partials_array = Eigen::Array<T_partials_return, -1, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:277:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp:62:9: warning: typedef 'using T_alpha_val = std::conditional_t<stan::is_vector<T_prob>::value, Eigen::Array<typename stan::partials_return_type<T_cut>::type, -1, 1>, typename stan::partials_return_type<T_cut>::type>' locally defined but not used [-Wunused-local-typedefs]
   62 |   using T_alpha_val = typename std::conditional_t<
      |         ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:26:22:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::type' {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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::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<double, 1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:124:17:   required from 'auto stan::math::to_matrix(const std::vector<T>&, int, int) [with T = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   recursively required by substitution of 'template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >::dot(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:62:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:66:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:60:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:18:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:55:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:36:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing.hpp:8,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/model_header.hpp:15,
                 from stanExports_ds.h:22:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/lvalue_varmat.hpp: In function 'void stan::model::assign(Mat1&&, const cons_index_list<index_multi, cons_index_list<index_multi, nil_index_list> >&, const Mat2&, const char*, int)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/lvalue_varmat.hpp:349:9: warning: typedef 'using pair_type = struct std::pair<int, std::vector<int, stan::math::arena_allocator<int> > >' locally defined but not used [-Wunused-local-typedefs]
  349 |   using pair_type = std::pair<int, arena_vec>;
      |         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
stanExports_ds.h: In member function 'virtual void model_ds_namespace::model_ds::transform_inits(const stan::io::var_context&, std::vector<int>&, std::vector<double>&, std::ostream*) const':
stanExports_ds.h:196:24: warning: typedef 'local_scalar_t__' locally defined but not used [-Wunused-local-typedefs]
  196 |         typedef double local_scalar_t__;
      |                        ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_ds.h:359:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_ds.h:359:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:30:13:   required from 'auto stan::math::multiply(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_ds.h:537:109:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:30:13:   required from 'auto stan::math::multiply(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_ds.h:537:109:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/subtract.hpp:94:21:   required from 'auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; <template-parameter-1-3> = void; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_ds.h:537:100:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/subtract.hpp:94:32:   required from 'auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; <template-parameter-1-3> = void; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_ds.h:537:100:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/add.hpp:48:14:   required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, 1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
stanExports_ds.h:537:59:   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<double>::type' {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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:34&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/exp.hpp:62:46:   required from 'auto stan::math::exp(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_ds.h:537:55:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/add.hpp:88:13:   required from 'auto stan::math::add(Scal, const Mat&) [with Scal = double; Mat = Eigen::Matrix<double, -1, 1>; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<S>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
stanExports_ds.h:545:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/add.hpp:88:32:   required from 'auto stan::math::add(Scal, const Mat&) [with Scal = double; Mat = Eigen::Matrix<double, -1, 1>; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<S>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
stanExports_ds.h:545:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50:   required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:52:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long unsigned int]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:96:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:73:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<long long unsigned int> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   73 |     for (int i = 0; i < dims.size(); i++) {
      |                     ~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long int]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:117:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:73:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<long long unsigned int> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]':
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1238:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1238 |     int ret = stan::services::error_codes::CONFIG;
      |         ^~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:34:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_2F1_converges.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err.hpp:4,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/profiling.hpp:9,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core.hpp:54,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:29:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:22:31:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:47:30:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, -1, -1> >(const char*, const char*, const Eigen::Matrix<double, -1, -1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, -1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:74:30:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, -1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:89:22: warning: comparison of integer expressions of different signedness: 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare]
   89 |   if (p_names.size() != draws.cols()) {
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:107:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare]
  107 |   for (size_t i = 0; i < draws.rows(); ++i) {
      |                      ~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:111:65:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:19:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_cholesky_factor.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err.hpp:7:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp: In instantiation of 'static void stan::math::internal::less_or_equal<T_y, T_high, is_vec>::check(const char*, const char*, const T_y&, const T_high&) [with T_y = long long unsigned int; T_high = long long int; bool is_vec = false]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:74:74:   required from 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&) [with T_y = long long unsigned int; T_high = long long int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:78:36:   required from 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:117:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:23:15: warning: comparison of integer expressions of different signedness: 'const long long unsigned int' and 'long long int' [-Wsign-compare]
   23 |       if (!(y <= high_vec[n])) {
      |            ~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:56:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:359:109:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {aka '__m128d'} [-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::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:64:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:359:109:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:359:109:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:150:39:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:359:109:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:26:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:359:109:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:40:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:359:109:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:58:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:359:109:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:359:109:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:172:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:359:109:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:13:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_ds.h:359:100:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:21:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_ds.h:359:100:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:24:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_ds.h:359:100:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   recursively required by substitution of 'template<class OtherDerived> static std::true_type stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >::f(const Eigen::EigenBase<Derived>*) [with OtherDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from 'struct stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:21:7:   recursively required by substitution of 'template<class T> struct stan::plain_type<T, typename std::enable_if<stan::math::conjunction<stan::is_var<T, void>, stan::is_eigen<typename stan::value_type<T, void>::type> >::value, void>::type> [with T = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:21:7:   required by substitution of 'template<class T> using plain_type_t = typename stan::plain_type<T>::type [with T = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:168:9:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_ds.h:359:100:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:172:47:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_ds.h:359:100:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:157:35:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_ds.h:359:59:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from 'struct stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:20:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8:   required from 'struct stan::is_any_var_matrix<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7:   required by substitution of 'template<class ReturnType, class ... Types> using return_var_matrix_t = std::conditional_t<stan::is_any_var_matrix<ReturnType, Types ...>::value, stan::math::var_value<typename stan::math::promote_scalar_type<double, typename stan::plain_type<T>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename stan::plain_type<T>::type, void>::type> [with ReturnType = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Types = {Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:158:9:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_ds.h:359:59:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:160:47:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_ds.h:359:59:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:162:61:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_ds.h:359:59:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:34:44:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:367:52:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/disjunction.hpp:17:8:   required from 'struct stan::math::disjunction<stan::is_var_matrix<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >, stan::is_var_matrix<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, stan::is_var_matrix<Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8:   required from 'struct stan::is_any_var_matrix<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7:   required by substitution of 'template<class ReturnType, class ... Types> using return_var_matrix_t = std::conditional_t<stan::is_any_var_matrix<ReturnType, Types ...>::value, stan::math::var_value<typename stan::math::promote_scalar_type<double, typename stan::plain_type<T>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename stan::plain_type<T>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:11:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:367:52:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:24:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:367:52:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:66:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:367:52:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:367:52:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:54:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:367:52:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:38:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:367:52:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:54:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:367:52:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/disjunction.hpp:17:8:   required from 'struct stan::math::disjunction<stan::is_var_matrix<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0> >, stan::is_var_matrix<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, stan::is_var_matrix<Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8:   required from 'struct stan::is_any_var_matrix<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7:   required by substitution of 'template<class ReturnType, class ... Types> using return_var_matrix_t = std::conditional_t<stan::is_any_var_matrix<ReturnType, Types ...>::value, stan::math::var_value<typename stan::math::promote_scalar_type<double, typename stan::plain_type<T>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename stan::plain_type<T>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Types = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:55:11:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:367:52:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:53:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:367:52:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:37:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:367:52:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:58:75:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:56:21:   required from 'auto stan::math::value_of(EigMat&&) [with EigMat = arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_not_st_arithmetic<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:66:48:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:367:52:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/disjunction.hpp:17:8:   required from 'struct stan::math::disjunction<stan::is_var_matrix<const Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >, stan::is_var_matrix<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, stan::is_var_matrix<Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8:   required from 'struct stan::is_any_var_matrix<const Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7:   required by substitution of 'template<class ReturnType, class ... Types> using return_var_matrix_t = std::conditional_t<stan::is_any_var_matrix<ReturnType, Types ...>::value, stan::math::var_value<typename stan::math::promote_scalar_type<double, typename stan::plain_type<T>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename stan::plain_type<T>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:11:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:367:52:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:367:52:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:46:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:367:52:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:233:33:   required from 'auto stan::math::add(const Var&, const VarMat&) [with Var = var_value<double>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_var_vt<std::is_arithmetic, Var>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_ds.h:367:39:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:40:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:468:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:53:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:26:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::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<double, double, false, false>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:91:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:101:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:25:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_ds_namespace::model_ds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/model_header.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp: In instantiation of 'T stan::io::reader<T>::scalar() [with T = double]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:151:40:   required from 'T stan::io::reader<T>::scalar_constrain() [with T = double]'
stanExports_ds.h:491:42:   required from 'void model_ds_namespace::model_ds::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1091:23:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:26:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:139:14: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >::Index' {aka 'long long int'} [-Wsign-compare]
  139 |     if (pos_ >= data_r_.size()) {
      |         ~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
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::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:229:14:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:35:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1847 |             PacketBlock<Packet> 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<double>::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::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::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<double, long long int, 0, 0, 1>; 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/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
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<typename unpacket_traits<SResPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::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<double, 16>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]'
D:/RCompile/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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -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/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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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/LDLT.h:346:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:23:   required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor<model_ds_namespace::model_ds>; Scalar = double; XType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:28:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_ds_namespace::model_ds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:78:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_ds_namespace::model_ds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_ds_namespace::model_ds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_ds_namespace::model_ds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_ds_namespace::model_ds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_ds_namespace::model_ds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20:   required from 'void stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:25:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_ds_namespace::model_ds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp: In instantiation of 'T stan::io::reader<T>::scalar() [with T = stan::math::var_value<double>]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:164:56:   required from 'T stan::io::reader<T>::scalar_constrain(T&) [with T = stan::math::var_value<double>]'
stanExports_ds.h:308:43:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:139:14: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::Index' {aka 'long long int'} [-Wsign-compare]
  139 |     if (pos_ >= data_r_.size()) {
      |         ~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:58:75:   required from 'stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)> [with auto:23 = const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:65:31:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_ds.h:403:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_ds.h:403:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:87:62:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_ds.h:403:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:102:57:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_ds.h:403:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:104:39:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_ds.h:403:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:49:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_ds.h:403:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_ds.h:403:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/inv.hpp:55:55:   required from 'stan::math::inv<Eigen::Array<double, -1, 1> >(const Eigen::Array<double, -1, 1>&)::<lambda(const auto:7&)> [with auto:7 = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:84:68:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_ds.h:417:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:40:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_ds.h:417:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_ds.h:417:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Array<double, -1, 1> >(const Eigen::Array<double, -1, 1>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:95:20:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_ds.h:417:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_ds.h:417:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:45:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:266:7:   required from 'Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:365:25:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:24:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::Array<double, -1, 1>; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:22:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:74:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -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:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -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:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_ds.h:403:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/inv.hpp:55:55:   required from 'stan::math::inv<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(const auto:7&)> [with auto:7 = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_ds.h:417:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:40:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_ds.h:417:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_ds.h:417:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:104:39:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_ds.h:417:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:49:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_ds.h:417:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_ds.h:417:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_ds_namespace::model_ds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:84:30:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_ds.h:405:49:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<int>::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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:85:33:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_ds.h:405:49:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<int>::type' {aka '__m128i'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/assert.hpp:35,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:19,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size_type.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/functions.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:38:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint<Model>::failed() [with Model = boost::algorithm::FinderConcept<boost::algorithm::detail::token_finderF<boost::algorithm::detail::is_any_ofF<char> >, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:81:13:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull]
   65 |     static void failed() { ((Model*)0)->constraints(); }
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~^~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:26,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string.hpp:23,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:12:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept<FinderT, IteratorT>::constraints() [with FinderT = boost::algorithm::detail::token_finderF<boost::algorithm::detail::is_any_ofF<char> >; IteratorT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   40 |             void constraints()
      |                  ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:86:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -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/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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_ds.h:405:49:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<int>::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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_ds.h:405:49:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<int>::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::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/advi.hpp:223:11:   required from 'double stan::variational::advi<Model, Q, BaseRNG>::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_ds_namespace::model_ds; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/advi.hpp:468:13:   required from 'int stan::variational::advi<Model, Q, BaseRNG>::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_ds_namespace::model_ds; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:15:   required from 'int stan::services::experimental::advi::meanfield(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:886:18:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:69:16:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_ds.h:403:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:69:16:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_ds.h:417:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:70:15:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_ds.h:417:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:71:17:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_ds.h:417:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::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/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:70:15:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_ds.h:417:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:71:17:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_ds.h:417:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:111:35:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, false, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  351 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  352 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  353 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 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/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  385 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> 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<double>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:74:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 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<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:78:24:   required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vt<std::is_arithmetic, T1, T2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]'
stanExports_ds.h:545:52:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:78:24:   required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vt<std::is_arithmetic, T1, T2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]'
stanExports_ds.h:545:52:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:78:24:   required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vt<std::is_arithmetic, T1, T2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]'
stanExports_ds.h:545:52:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_ds_namespace::model_ds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:86:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_ds_namespace::model_ds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_ds_namespace::model_ds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:90:38:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_ds.h:403:48:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::Array<int, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<int, -1, 1> >; Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::Array<int, -1, 1>; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<int, -1, 1>; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::Array<int, -1, 1>; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:84:10:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_ds.h:405:49:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<int>::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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:86:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
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<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; 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<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:78:24:   required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vt<std::is_arithmetic, T1, T2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]'
stanExports_ds.h:545:52:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> 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<double>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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/util/BlasUtil.h:263:43:   required from 'Index Eigen::internal::blas_data_mapper<Scalar, Index, StorageOrder, AlignmentType, 1>::firstAligned(Index) const [with Scalar = const double; Index = long long int; int StorageOrder = 0; int AlignmentType = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:40:   required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  470 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 8 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<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:118:14:   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<double>::type' {aka '__m128d'} [-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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:503:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]'
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/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   60 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   61 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:165:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:256:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:166:55:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:128:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:259:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:259:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::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<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; int ProductTag = 8; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Matrix<double, -1, -1, 1>, 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1, 1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1, 1>; 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_ds_namespace::model_ds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5:   required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:31:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5:   required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   required from 'bool boost::range::equal(const SinglePassRange1&, const SinglePassRange2&) [with SinglePassRange1 = boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; SinglePassRange2 = boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:644:32:   required from 'bool boost::operator==(const iterator_range<IteratorT>&, const iterator_range<Iterator2T>&) [with Iterator1T = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >; Iterator2T = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_iterator.hpp:359:32:   required from 'bool boost::algorithm::split_iterator<IteratorT>::equal(const boost::algorithm::split_iterator<IteratorT>&) const [with IteratorT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:649:26:   required from 'static bool boost::iterators::iterator_core_access::equal(const Facade1&, const Facade2&, mpl_::true_) [with Facade1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; Facade2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; mpl_::true_ = mpl_::bool_<true>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:981:3:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, typename boost::mpl::apply2<boost::iterators::detail::always_bool2, Derived1, Derived2>::type>::type boost::iterators::operator==(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; V1 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; TC1 = forward_traversal_tag; Reference1 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >&; Difference1 = long long int; Derived2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; V2 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; TC2 = forward_traversal_tag; Reference2 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >&; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, typename boost::mpl::apply2<detail::always_bool2, Derived1, Derived2>::type>::type = bool; typename boost::mpl::apply2<detail::always_bool2, Derived1, Derived2>::type = bool]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_adaptor.hpp:305:29:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-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::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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<double, 8>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 12 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 13 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -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/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 12 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_ds_namespace::model_ds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:358:52:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:367:52:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:358:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:367:52:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5:   required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::CopyConstructible<TT>::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  167 |     BOOST_CONCEPT_USAGE(CopyConstructible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::IncrementableIteratorConcept<Iterator>::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  136 |             BOOST_CONCEPT_USAGE(IncrementableIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5:   required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::EqualityComparable<TT>::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  233 |     BOOST_CONCEPT_USAGE(EqualityComparable) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<double, 4, 4, 1, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 15 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 14 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, 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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_ds_namespace::model_ds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:713:64:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_ds_namespace::model_ds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1, 1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1, 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<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 9 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 14 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<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:118:14:   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<double>::type' {aka '__m128d'} [-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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29:   [ skipping 14 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_ds_namespace::model_ds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:26:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
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/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 15 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 13 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
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:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::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<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; 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<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_ds_namespace::model_ds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_ds_namespace::model_ds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ds_namespace::model_ds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
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:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_ds.h:367:52:   required from 'T__ model_ds_namespace::model_ds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ds_namespace::model_ds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_ds_namespace::model_ds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_ds.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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 20 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 22 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 31 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 29 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 28 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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 33 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -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<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 27 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_ds_namespace::model_ds; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_ds_namespace::model_ds; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_ds_namespace::model_ds; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_ds_namespace::model_ds; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_ds_namespace::model_ds; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_ds_namespace::model_ds; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {aka '__m128d'} [-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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 14 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_ds_namespace::model_ds; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 17 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_ds_namespace::model_ds; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_ds_namespace::model_ds; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: warning: 'result' may be used uninitialized [-Wmaybe-uninitialized]
  225 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  226 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  227 |       (
      |       ^
  228 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  230 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |       );
      |       ~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:39:24: note: by argument 4 of type 'const double*' to 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' declared here
   39 | EIGEN_DONT_INLINE void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Version>::run(
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Warning in .make_numeric_version(x, strict, .standard_regexps()$valid_numeric_version) :
  invalid non-character version specification 'x' (type: double)
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1  -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"  -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -D_HAS_AUTO_PTR_ETC=0     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c stanExports_eds.cc -o stanExports_eds.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\stanheaders\include\stan\math\prim\fun\eigen.hpp:22,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:1,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_eds.h:20,
                 from stanExports_eds.cc:5:
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<Packet4f> { 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<Packet2d> { 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<Packet4i> { 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<Offset,Packet4f>
      |                                   ^
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<Offset,Packet4i>
      |                                   ^
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<Offset,Packet2d>
      |                                   ^
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<Packet4f,4>& 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<Packet2d,2>& 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<Packet4i,4>& 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<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
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<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
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<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
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<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
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<float, 4>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
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<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<float>::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<float>::type' {aka '__m128'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::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<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
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<float>::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<double, 4>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/shared_ptr.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/time_clock.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:4:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  361 |     explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
      |                                 ^~~~~~~~
In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\memory:76,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:7:
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:250:65: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  250 | template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R >
      |                                                                 ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:507:31: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  507 |     explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
      |                               ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:520:22: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  520 |     shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
      |                      ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:603:34: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  603 |     shared_ptr & operator=( std::auto_ptr<Y> & r )
      |                                  ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:612:34: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  612 |     shared_ptr & operator=( std::auto_ptr<Y> && r )
      |                                  ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr<T>& boost::shared_ptr<T>::operator=(std::auto_ptr<_Up>&&)':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:614:38: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  614 |         this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
      |                                      ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
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/rstan/include/rstan/stan_args.hpp:12,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:20:
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<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<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_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                     -
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
      |     -
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\stanheaders\include\stan\math\prim\fun\eigen.hpp:23:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
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<double>::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<int, -1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<int>::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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
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<int>::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::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
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<int>::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::Matrix<int, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
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<int>::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<double, -1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/typedefs.hpp:12:72:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/typedefs.hpp:12:72:   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<double>::type' {aka '__m128d'} [-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<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:281:19:   required from 'class Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:36:26:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:36:34:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun.hpp:110,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:8,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:35:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/generalized_inverse.hpp: In function 'Eigen::Matrix<typename stan::value_type<T>::type, EigMat::ColsAtCompileTime, EigMat::RowsAtCompileTime> stan::math::generalized_inverse(const EigMat&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/generalized_inverse.hpp:34:9: warning: typedef 'using value_t = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   34 |   using value_t = value_type_t<EigMat>;
      |         ^~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/identity_matrix.hpp:19:35:   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<double>::type' {aka '__m128d'} [-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::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49:   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<double>::type' {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::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_int_array.hpp:41:49:   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<int>::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::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28:   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<double>::type' {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::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53:   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<double>::type' {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::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72:   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<double>::type' {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::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:33:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:25:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:25:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:35:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:115:33:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun.hpp:319:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tail.hpp: In function 'std::vector<T> stan::math::tail(const std::vector<T>&, size_t)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tail.hpp:46:9: warning: typedef 'using idx_t = stan::math::index_type_t<std::vector<T> >' locally defined but not used [-Wunused-local-typedefs]
   46 |   using idx_t = index_type_t<std::vector<T>>;
      |         ^~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19:   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<double>::type' {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<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30:   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<double>::type' {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<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/traits.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:27,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/vector.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint.hpp:25,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp: At global scope:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  111 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_algobase.h:65,
                 from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\specfun.h:45,
                 from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\cmath:1935,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/r/headers.h:62,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/RcppCommon.h:30,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:27,
                 from stanExports_eds.cc:3:
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  149 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  204 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/invoke.hpp:52,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/adapter/fused.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/generation/make_fused.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/include/make_fused.hpp:11,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:28,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/get_pointer.hpp:48:40: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
   48 | template<class T> T * get_pointer(std::auto_ptr<T> const& p)
      |                                        ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:54:9:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:103:16:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:112:28:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:117:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:32:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp: In lambda function:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:83:11: warning: typedef 'using Block_ = class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>' locally defined but not used [-Wunused-local-typedefs]
   83 |     using Block_ = Eigen::Block<Eigen::MatrixXd>;
      |           ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:61:39:   required from 'class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:143:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Map<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:145:6:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:643:29:   required from 'class stan::math::vari_value<Eigen::Matrix<double, -1, 1>, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:408:48:   required from 'const auto& stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::val() const [with T = Eigen::Matrix<double, -1, 1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_corr_constrain.hpp:44:33:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:43:17:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:34:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp: In function 'stan::math::var_value<Eigen::Matrix<double, -1, -1> > stan::math::cholesky_factor_constrain(const T&, int, int)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:32:9: warning: typedef 'using T_scalar = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   32 |   using T_scalar = value_type_t<T>;
      |         ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:50:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:46:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:23:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:36:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:62:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:71:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:73:41:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:45:15:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:42:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:110:66:   required from 'stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)> [with auto:19 = const Eigen::Matrix<stan::math::var_value<double>, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>; Args = {const Eigen::Matrix<stan::math::var_value<double, void>, -1, -1, 0, -1, -1>&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:108:21:   required from 'auto stan::math::value_of_rec(T&&) [with T = const Eigen::Matrix<var_value<double>, -1, -1>&; <template-parameter-1-2> = void; <template-parameter-1-3> = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:83:31:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:56:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:61:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:71:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/generalized_inverse.hpp: In function 'auto stan::math::generalized_inverse(const VarMat&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/generalized_inverse.hpp:64:9: warning: typedef 'using value_t = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   64 |   using value_t = value_type_t<VarMat>;
      |         ^~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:12:   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<double>::type' {aka '__m128d'} [-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::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:54:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:56:   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<double>::type' {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<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:45:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:46:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:11:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:12:   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<double>::type' {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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -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<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -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::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::Array<double, -1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -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::Array<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:37:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:33:   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<double>::type' {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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:40:   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<double>::type' {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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:58:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:58:74:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:59:22:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:59:30:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > > >'
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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:59:30:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:230:47:   required from 'struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:41:59:   required from 'struct Eigen::EigenBase<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7:   required from 'class Eigen::DiagonalBase<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:245:7:   required from 'class Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:53:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:41:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:15:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:72:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:73:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:36:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:61:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:58:75:   required from 'stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)> [with auto:23 = const Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>; Args = {const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:56:21:   required from 'auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_not_st_arithmetic<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:96:37:   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<double>::type' {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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/functor/idas_forward_system.hpp:148:16:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:13:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:59:9: warning: typedef 'using T_y_val = std::conditional_t<stan::is_vector<T2>::value, Eigen::Matrix<typename stan::partials_return_type<T_y>::type, -1, 1>, typename stan::partials_return_type<T_y>::type>' locally defined but not used [-Wunused-local-typedefs]
   59 |   using T_y_val =
      |         ^~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:31:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:50:9: warning: typedef 'using T_partials_matrix = class Eigen::Matrix<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   50 |   using T_partials_matrix = Eigen::Matrix<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:37:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::beta_proportion_lpdf(const T_y&, const T_loc&, const T_prec&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_lpdf.hpp:55:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   55 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/categorical_logit_glm_lpmf.hpp:143:15:   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<double>::type' {aka '__m128d'} [-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::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/cumulative_sum.hpp:56:49:   required from 'auto stan::math::cumulative_sum(const EigVec&) [with EigVec = Eigen::Matrix<double, -1, 1>; stan::require_eigen_vector_t<C>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/categorical_logit_rng.hpp:37:41:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:63:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::cauchy_lpdf(const T_y&, const T_loc&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_lpdf.hpp:45:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   45 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:74:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp: In function 'stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:60:9: warning: typedef 'using T_partials_vec = struct Eigen::Matrix<typename stan::partials_return_type<T_n, T_prob>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   60 |   using T_partials_vec = typename Eigen::Matrix<T_partials_return, -1, 1>;
      |         ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:42:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:42:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:26:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:91:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::double_exponential_lpdf(const T_y&, const T_loc&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_lpdf.hpp:44:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   44 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:111:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/frechet_cdf.hpp: In function 'stan::return_type_t<T_x, T_sigma, T_l> stan::math::frechet_cdf(const T_y&, const T_shape&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/frechet_cdf.hpp:30:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   30 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 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::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 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::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 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::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41:   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<double>::type' {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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51:   recursively required by substitution of 'template<int Side, class Other> const Eigen::internal::triangular_solve_retval<Side, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Other> Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase<U>&) const [with int Side = <missing>; Other = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32:   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<double>::type' {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<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43:   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<double>::type' {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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 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::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 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::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52:   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<double>::type' {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<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:46:43:   required from 'stan::math::as_array_or_scalar<const std::vector<int>&>(const std::vector<int>&)::<lambda(auto:6&)> [with auto:6 = const std::vector<int>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar<const std::vector<int>&>(const std::vector<int>&)::<lambda(auto:6&)>; Args = {const std::vector<int, std::allocator<int> >&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:46:21:   required from 'auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector<int>&; stan::require_std_vector_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:36:45:   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<int>::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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:55:   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<int>::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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50:   required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:28:   recursively required by substitution of 'template<class ThenDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select(const Eigen::DenseBase<Derived>&, const typename ThenDerived::Scalar&) const [with ThenDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:28:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:52:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:60:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:132:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:138:17:   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<int>::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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:16:   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<int>::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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:71:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::log1m_exp_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log1m_exp.hpp:83:53:   required from 'auto stan::math::log1m_exp(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:59:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:79:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:143:34:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:143:34:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:140:58:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:140:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:23:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.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<double>::type' {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<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:167:33:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:169:50:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:245:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_lpmf.hpp: In function 'stan::return_type_t<T_shared_param, T_job_param> stan::math::ordered_logistic_lpmf(const T_y&, const T_loc&, const T_cut&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_lpmf.hpp:76:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_loc, T_cut>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   76 |   using T_partials_array = Eigen::Array<T_partials_return, -1, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:277:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp:62:9: warning: typedef 'using T_alpha_val = std::conditional_t<stan::is_vector<T_prob>::value, Eigen::Array<typename stan::partials_return_type<T_cut>::type, -1, 1>, typename stan::partials_return_type<T_cut>::type>' locally defined but not used [-Wunused-local-typedefs]
   62 |   using T_alpha_val = typename std::conditional_t<
      |         ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:26:22:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::type' {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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::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<double, 1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:124:17:   required from 'auto stan::math::to_matrix(const std::vector<T>&, int, int) [with T = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   recursively required by substitution of 'template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >::dot(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:62:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:66:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:60:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:18:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:55:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:36:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing.hpp:8,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/model_header.hpp:15,
                 from stanExports_eds.h:22:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/lvalue_varmat.hpp: In function 'void stan::model::assign(Mat1&&, const cons_index_list<index_multi, cons_index_list<index_multi, nil_index_list> >&, const Mat2&, const char*, int)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/lvalue_varmat.hpp:349:9: warning: typedef 'using pair_type = struct std::pair<int, std::vector<int, stan::math::arena_allocator<int> > >' locally defined but not used [-Wunused-local-typedefs]
  349 |   using pair_type = std::pair<int, arena_vec>;
      |         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
stanExports_eds.h: In member function 'virtual void model_eds_namespace::model_eds::transform_inits(const stan::io::var_context&, std::vector<int>&, std::vector<double>&, std::ostream*) const':
stanExports_eds.h:220:24: warning: typedef 'local_scalar_t__' locally defined but not used [-Wunused-local-typedefs]
  220 |         typedef double local_scalar_t__;
      |                        ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_eds.h:393:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_eds.h:393:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:30:13:   required from 'auto stan::math::multiply(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_eds.h:589:109:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:30:13:   required from 'auto stan::math::multiply(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_eds.h:589:109:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/subtract.hpp:94:21:   required from 'auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; <template-parameter-1-3> = void; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_eds.h:589:100:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/subtract.hpp:94:32:   required from 'auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; <template-parameter-1-3> = void; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_eds.h:589:100:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/add.hpp:48:14:   required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, 1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
stanExports_eds.h:589:59:   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<double>::type' {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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:34&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/exp.hpp:62:46:   required from 'auto stan::math::exp(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_eds.h:589:55:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/add.hpp:88:13:   required from 'auto stan::math::add(Scal, const Mat&) [with Scal = double; Mat = Eigen::Matrix<double, -1, 1>; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<S>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
stanExports_eds.h:603:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/add.hpp:88:32:   required from 'auto stan::math::add(Scal, const Mat&) [with Scal = double; Mat = Eigen::Matrix<double, -1, 1>; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<S>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
stanExports_eds.h:603:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50:   required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:52:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long unsigned int]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:96:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:73:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<long long unsigned int> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   73 |     for (int i = 0; i < dims.size(); i++) {
      |                     ~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long int]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:117:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:73:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<long long unsigned int> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]':
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1238:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1238 |     int ret = stan::services::error_codes::CONFIG;
      |         ^~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:34:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_2F1_converges.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err.hpp:4,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/profiling.hpp:9,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core.hpp:54,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:29:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:22:31:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:47:30:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, -1, -1> >(const char*, const char*, const Eigen::Matrix<double, -1, -1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, -1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:74:30:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, -1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:89:22: warning: comparison of integer expressions of different signedness: 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare]
   89 |   if (p_names.size() != draws.cols()) {
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:107:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare]
  107 |   for (size_t i = 0; i < draws.rows(); ++i) {
      |                      ~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:111:65:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:19:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_cholesky_factor.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err.hpp:7:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp: In instantiation of 'static void stan::math::internal::less_or_equal<T_y, T_high, is_vec>::check(const char*, const char*, const T_y&, const T_high&) [with T_y = long long unsigned int; T_high = long long int; bool is_vec = false]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:74:74:   required from 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&) [with T_y = long long unsigned int; T_high = long long int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:78:36:   required from 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:117:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:23:15: warning: comparison of integer expressions of different signedness: 'const long long unsigned int' and 'long long int' [-Wsign-compare]
   23 |       if (!(y <= high_vec[n])) {
      |            ~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:56:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:393:109:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {aka '__m128d'} [-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::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:64:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:393:109:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:393:109:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:150:39:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:393:109:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:26:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:393:109:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:40:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:393:109:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:58:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:393:109:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:393:109:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:172:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:393:109:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:13:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_eds.h:393:100:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:21:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_eds.h:393:100:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:24:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_eds.h:393:100:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   recursively required by substitution of 'template<class OtherDerived> static std::true_type stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >::f(const Eigen::EigenBase<Derived>*) [with OtherDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from 'struct stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:21:7:   recursively required by substitution of 'template<class T> struct stan::plain_type<T, typename std::enable_if<stan::math::conjunction<stan::is_var<T, void>, stan::is_eigen<typename stan::value_type<T, void>::type> >::value, void>::type> [with T = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:21:7:   required by substitution of 'template<class T> using plain_type_t = typename stan::plain_type<T>::type [with T = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:168:9:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_eds.h:393:100:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:172:47:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_eds.h:393:100:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:157:35:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_eds.h:393:59:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from 'struct stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:20:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8:   required from 'struct stan::is_any_var_matrix<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7:   required by substitution of 'template<class ReturnType, class ... Types> using return_var_matrix_t = std::conditional_t<stan::is_any_var_matrix<ReturnType, Types ...>::value, stan::math::var_value<typename stan::math::promote_scalar_type<double, typename stan::plain_type<T>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename stan::plain_type<T>::type, void>::type> [with ReturnType = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Types = {Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:158:9:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_eds.h:393:59:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:160:47:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_eds.h:393:59:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:162:61:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_eds.h:393:59:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:34:44:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:407:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/disjunction.hpp:17:8:   required from 'struct stan::math::disjunction<stan::is_var_matrix<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >, stan::is_var_matrix<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, stan::is_var_matrix<Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8:   required from 'struct stan::is_any_var_matrix<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7:   required by substitution of 'template<class ReturnType, class ... Types> using return_var_matrix_t = std::conditional_t<stan::is_any_var_matrix<ReturnType, Types ...>::value, stan::math::var_value<typename stan::math::promote_scalar_type<double, typename stan::plain_type<T>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename stan::plain_type<T>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:11:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:407:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:24:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:407:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:66:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:407:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:407:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:54:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:407:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:38:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:407:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:54:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:407:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/disjunction.hpp:17:8:   required from 'struct stan::math::disjunction<stan::is_var_matrix<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0> >, stan::is_var_matrix<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, stan::is_var_matrix<Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8:   required from 'struct stan::is_any_var_matrix<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7:   required by substitution of 'template<class ReturnType, class ... Types> using return_var_matrix_t = std::conditional_t<stan::is_any_var_matrix<ReturnType, Types ...>::value, stan::math::var_value<typename stan::math::promote_scalar_type<double, typename stan::plain_type<T>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename stan::plain_type<T>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Types = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:55:11:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:407:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:53:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:407:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:37:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:407:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:58:75:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:56:21:   required from 'auto stan::math::value_of(EigMat&&) [with EigMat = arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_not_st_arithmetic<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:66:48:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:407:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/disjunction.hpp:17:8:   required from 'struct stan::math::disjunction<stan::is_var_matrix<const Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >, stan::is_var_matrix<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, stan::is_var_matrix<Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8:   required from 'struct stan::is_any_var_matrix<const Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7:   required by substitution of 'template<class ReturnType, class ... Types> using return_var_matrix_t = std::conditional_t<stan::is_any_var_matrix<ReturnType, Types ...>::value, stan::math::var_value<typename stan::math::promote_scalar_type<double, typename stan::plain_type<T>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename stan::plain_type<T>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:11:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:407:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:407:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:46:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:407:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:233:33:   required from 'auto stan::math::add(const Var&, const VarMat&) [with Var = var_value<double>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_var_vt<std::is_arithmetic, Var>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_eds.h:407:39:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:40:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:468:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:53:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:26:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::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<double, double, false, false>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:91:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:101:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:25:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_eds_namespace::model_eds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/model_header.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp: In instantiation of 'T stan::io::reader<T>::scalar() [with T = double]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:151:40:   required from 'T stan::io::reader<T>::scalar_constrain() [with T = double]'
stanExports_eds.h:535:42:   required from 'void model_eds_namespace::model_eds::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1091:23:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:26:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:139:14: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >::Index' {aka 'long long int'} [-Wsign-compare]
  139 |     if (pos_ >= data_r_.size()) {
      |         ~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
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::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:229:14:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:35:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1847 |             PacketBlock<Packet> 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<double>::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::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::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<double, long long int, 0, 0, 1>; 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/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
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<typename unpacket_traits<SResPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::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<double, 16>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]'
D:/RCompile/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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -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/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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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/LDLT.h:346:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:23:   required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor<model_eds_namespace::model_eds>; Scalar = double; XType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:28:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_eds_namespace::model_eds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:78:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_eds_namespace::model_eds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_eds_namespace::model_eds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_eds_namespace::model_eds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_eds_namespace::model_eds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_eds_namespace::model_eds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20:   required from 'void stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:25:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_eds_namespace::model_eds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp: In instantiation of 'T stan::io::reader<T>::scalar() [with T = stan::math::var_value<double>]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:164:56:   required from 'T stan::io::reader<T>::scalar_constrain(T&) [with T = stan::math::var_value<double>]'
stanExports_eds.h:339:43:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:139:14: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::Index' {aka 'long long int'} [-Wsign-compare]
  139 |     if (pos_ >= data_r_.size()) {
      |         ~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:58:75:   required from 'stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)> [with auto:23 = const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:65:31:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:443:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:443:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:87:62:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:443:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:102:57:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:443:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:104:39:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:443:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:49:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:443:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:443:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&>(const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&>(const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&>(const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&>(const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&>(const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:58:75:   required from 'stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&>(const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(auto:23&)> [with auto:23 = const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:65:31:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector<var_value<double>, std::allocator<var_value<double> > >; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector<var_value<double>, std::allocator<var_value<double> > >; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:457:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/inv.hpp:55:55:   required from 'stan::math::inv<Eigen::Array<double, -1, 1> >(const Eigen::Array<double, -1, 1>&)::<lambda(const auto:7&)> [with auto:7 = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:84:68:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:460:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:40:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:460:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:460:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Array<double, -1, 1> >(const Eigen::Array<double, -1, 1>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:95:20:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:460:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:460:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:45:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:266:7:   required from 'Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:365:25:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:24:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::Array<double, -1, 1>; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:22:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:74:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -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:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -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:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_eds.h:443:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:32:51:   required from 'stan::math::as_array_or_scalar<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:5&)> [with auto:5 = const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector<double>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_eds.h:457:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:40:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector<double>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector<double>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_eds.h:457:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector<double>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector<double>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_eds.h:457:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/inv.hpp:55:55:   required from 'stan::math::inv<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(const auto:7&)> [with auto:7 = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_eds.h:460:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:40:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_eds.h:460:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_eds.h:460:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:104:39:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_eds.h:460:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:49:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_eds.h:460:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_eds.h:460:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_eds_namespace::model_eds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:84:30:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:445:49:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<int>::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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:85:33:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:445:49:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<int>::type' {aka '__m128i'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/assert.hpp:35,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:19,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size_type.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/functions.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:38:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint<Model>::failed() [with Model = boost::algorithm::FinderConcept<boost::algorithm::detail::token_finderF<boost::algorithm::detail::is_any_ofF<char> >, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:81:13:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull]
   65 |     static void failed() { ((Model*)0)->constraints(); }
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~^~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:26,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string.hpp:23,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:12:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept<FinderT, IteratorT>::constraints() [with FinderT = boost::algorithm::detail::token_finderF<boost::algorithm::detail::is_any_ofF<char> >; IteratorT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   40 |             void constraints()
      |                  ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:86:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -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/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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_eds.h:445:49:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<int>::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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_eds.h:445:49:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<int>::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::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/advi.hpp:223:11:   required from 'double stan::variational::advi<Model, Q, BaseRNG>::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_eds_namespace::model_eds; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/advi.hpp:468:13:   required from 'int stan::variational::advi<Model, Q, BaseRNG>::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_eds_namespace::model_eds; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:15:   required from 'int stan::services::experimental::advi::meanfield(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:886:18:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:69:16:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:443:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:69:16:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:460:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:70:15:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:460:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:71:17:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:460:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::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/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:69:16:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector<double>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector<double>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_eds.h:457:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:70:15:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_eds.h:460:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:71:17:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_eds.h:460:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:111:35:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, false, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  351 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  352 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  353 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 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/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  385 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> 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<double>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:74:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 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<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:78:24:   required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vt<std::is_arithmetic, T1, T2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]'
stanExports_eds.h:603:52:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:78:24:   required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vt<std::is_arithmetic, T1, T2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]'
stanExports_eds.h:603:52:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:78:24:   required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vt<std::is_arithmetic, T1, T2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]'
stanExports_eds.h:603:52:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_eds_namespace::model_eds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:86:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_eds_namespace::model_eds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_eds_namespace::model_eds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:90:38:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:443:48:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::Array<int, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<int, -1, 1> >; Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::Array<int, -1, 1>; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<int, -1, 1>; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::Array<int, -1, 1>; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:84:10:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_eds.h:445:49:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<int>::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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:86:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
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<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; 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<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:78:24:   required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vt<std::is_arithmetic, T1, T2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]'
stanExports_eds.h:603:52:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> 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<double>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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/util/BlasUtil.h:263:43:   required from 'Index Eigen::internal::blas_data_mapper<Scalar, Index, StorageOrder, AlignmentType, 1>::firstAligned(Index) const [with Scalar = const double; Index = long long int; int StorageOrder = 0; int AlignmentType = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:40:   required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  470 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 8 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<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:118:14:   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<double>::type' {aka '__m128d'} [-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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:503:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]'
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/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   60 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   61 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:165:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:256:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:166:55:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:128:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:259:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:259:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::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<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; int ProductTag = 8; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Matrix<double, -1, -1, 1>, 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1, 1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1, 1>; 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_eds_namespace::model_eds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5:   required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:31:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5:   required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   required from 'bool boost::range::equal(const SinglePassRange1&, const SinglePassRange2&) [with SinglePassRange1 = boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; SinglePassRange2 = boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:644:32:   required from 'bool boost::operator==(const iterator_range<IteratorT>&, const iterator_range<Iterator2T>&) [with Iterator1T = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >; Iterator2T = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_iterator.hpp:359:32:   required from 'bool boost::algorithm::split_iterator<IteratorT>::equal(const boost::algorithm::split_iterator<IteratorT>&) const [with IteratorT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:649:26:   required from 'static bool boost::iterators::iterator_core_access::equal(const Facade1&, const Facade2&, mpl_::true_) [with Facade1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; Facade2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; mpl_::true_ = mpl_::bool_<true>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:981:3:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, typename boost::mpl::apply2<boost::iterators::detail::always_bool2, Derived1, Derived2>::type>::type boost::iterators::operator==(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; V1 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; TC1 = forward_traversal_tag; Reference1 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >&; Difference1 = long long int; Derived2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; V2 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; TC2 = forward_traversal_tag; Reference2 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >&; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, typename boost::mpl::apply2<detail::always_bool2, Derived1, Derived2>::type>::type = bool; typename boost::mpl::apply2<detail::always_bool2, Derived1, Derived2>::type = bool]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_adaptor.hpp:305:29:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-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::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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<double, 8>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 12 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 13 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -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/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 12 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_eds_namespace::model_eds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:358:52:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:407:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:358:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:407:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5:   required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::CopyConstructible<TT>::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  167 |     BOOST_CONCEPT_USAGE(CopyConstructible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::IncrementableIteratorConcept<Iterator>::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  136 |             BOOST_CONCEPT_USAGE(IncrementableIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5:   required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::EqualityComparable<TT>::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  233 |     BOOST_CONCEPT_USAGE(EqualityComparable) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<double, 4, 4, 1, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 15 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 14 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, 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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_eds_namespace::model_eds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:713:64:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_eds_namespace::model_eds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1, 1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1, 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<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 9 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 14 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<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:118:14:   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<double>::type' {aka '__m128d'} [-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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29:   [ skipping 14 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_eds_namespace::model_eds>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:26:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
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/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 15 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 13 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
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:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::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<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; 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<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_eds_namespace::model_eds, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_eds_namespace::model_eds; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_eds_namespace::model_eds]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
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:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_eds.h:407:52:   required from 'T__ model_eds_namespace::model_eds::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_eds_namespace::model_eds; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_eds_namespace::model_eds; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_eds.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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 20 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 22 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 31 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 29 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 28 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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 33 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -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<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 27 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_eds_namespace::model_eds; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_eds_namespace::model_eds; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_eds_namespace::model_eds; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_eds_namespace::model_eds; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_eds_namespace::model_eds; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_eds_namespace::model_eds; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {aka '__m128d'} [-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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 14 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_eds_namespace::model_eds; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 17 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_eds_namespace::model_eds; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_eds_namespace::model_eds; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: warning: 'result' may be used uninitialized [-Wmaybe-uninitialized]
  225 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  226 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  227 |       (
      |       ^
  228 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  230 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |       );
      |       ~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:39:24: note: by argument 4 of type 'const double*' to 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' declared here
   39 | EIGEN_DONT_INLINE void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Version>::run(
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Warning in .make_numeric_version(x, strict, .standard_regexps()$valid_numeric_version) :
  invalid non-character version specification 'x' (type: double)
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1  -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"  -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -D_HAS_AUTO_PTR_ETC=0     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c stanExports_fs.cc -o stanExports_fs.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\stanheaders\include\stan\math\prim\fun\eigen.hpp:22,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:1,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_fs.h:20,
                 from stanExports_fs.cc:5:
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<Packet4f> { 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<Packet2d> { 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<Packet4i> { 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<Offset,Packet4f>
      |                                   ^
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<Offset,Packet4i>
      |                                   ^
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<Offset,Packet2d>
      |                                   ^
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<Packet4f,4>& 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<Packet2d,2>& 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<Packet4i,4>& 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<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
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<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
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<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
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<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
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<float, 4>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
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<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<float>::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<float>::type' {aka '__m128'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::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<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
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<float>::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<double, 4>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/shared_ptr.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/time_clock.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:4:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  361 |     explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
      |                                 ^~~~~~~~
In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\memory:76,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:7:
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:250:65: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  250 | template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R >
      |                                                                 ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:507:31: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  507 |     explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
      |                               ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:520:22: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  520 |     shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
      |                      ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:603:34: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  603 |     shared_ptr & operator=( std::auto_ptr<Y> & r )
      |                                  ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:612:34: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  612 |     shared_ptr & operator=( std::auto_ptr<Y> && r )
      |                                  ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr<T>& boost::shared_ptr<T>::operator=(std::auto_ptr<_Up>&&)':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:614:38: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  614 |         this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
      |                                      ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
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/rstan/include/rstan/stan_args.hpp:12,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:20:
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<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<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_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                     -
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
      |     -
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\stanheaders\include\stan\math\prim\fun\eigen.hpp:23:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
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<double>::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<int, -1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<int>::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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
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<int>::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::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
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<int>::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::Matrix<int, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
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<int>::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<double, -1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/typedefs.hpp:12:72:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/typedefs.hpp:12:72:   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<double>::type' {aka '__m128d'} [-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<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:281:19:   required from 'class Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:36:26:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:36:34:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun.hpp:110,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:8,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:35:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/generalized_inverse.hpp: In function 'Eigen::Matrix<typename stan::value_type<T>::type, EigMat::ColsAtCompileTime, EigMat::RowsAtCompileTime> stan::math::generalized_inverse(const EigMat&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/generalized_inverse.hpp:34:9: warning: typedef 'using value_t = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   34 |   using value_t = value_type_t<EigMat>;
      |         ^~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/identity_matrix.hpp:19:35:   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<double>::type' {aka '__m128d'} [-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::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49:   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<double>::type' {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::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_int_array.hpp:41:49:   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<int>::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::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28:   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<double>::type' {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::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53:   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<double>::type' {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::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72:   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<double>::type' {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::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:33:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:25:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:25:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:35:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:115:33:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun.hpp:319:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tail.hpp: In function 'std::vector<T> stan::math::tail(const std::vector<T>&, size_t)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tail.hpp:46:9: warning: typedef 'using idx_t = stan::math::index_type_t<std::vector<T> >' locally defined but not used [-Wunused-local-typedefs]
   46 |   using idx_t = index_type_t<std::vector<T>>;
      |         ^~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19:   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<double>::type' {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<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30:   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<double>::type' {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<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/traits.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:27,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/vector.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint.hpp:25,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp: At global scope:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  111 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_algobase.h:65,
                 from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\specfun.h:45,
                 from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\cmath:1935,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/r/headers.h:62,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/RcppCommon.h:30,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:27,
                 from stanExports_fs.cc:3:
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  149 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  204 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/invoke.hpp:52,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/adapter/fused.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/generation/make_fused.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/include/make_fused.hpp:11,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:28,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/get_pointer.hpp:48:40: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
   48 | template<class T> T * get_pointer(std::auto_ptr<T> const& p)
      |                                        ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:54:9:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:103:16:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:112:28:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:117:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:32:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp: In lambda function:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:83:11: warning: typedef 'using Block_ = class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>' locally defined but not used [-Wunused-local-typedefs]
   83 |     using Block_ = Eigen::Block<Eigen::MatrixXd>;
      |           ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:61:39:   required from 'class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:143:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Map<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:145:6:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:643:29:   required from 'class stan::math::vari_value<Eigen::Matrix<double, -1, 1>, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:408:48:   required from 'const auto& stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::val() const [with T = Eigen::Matrix<double, -1, 1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_corr_constrain.hpp:44:33:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:43:17:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:34:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp: In function 'stan::math::var_value<Eigen::Matrix<double, -1, -1> > stan::math::cholesky_factor_constrain(const T&, int, int)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:32:9: warning: typedef 'using T_scalar = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   32 |   using T_scalar = value_type_t<T>;
      |         ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:50:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:46:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:23:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:36:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:62:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:71:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:73:41:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:45:15:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:42:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:110:66:   required from 'stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)> [with auto:19 = const Eigen::Matrix<stan::math::var_value<double>, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>; Args = {const Eigen::Matrix<stan::math::var_value<double, void>, -1, -1, 0, -1, -1>&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:108:21:   required from 'auto stan::math::value_of_rec(T&&) [with T = const Eigen::Matrix<var_value<double>, -1, -1>&; <template-parameter-1-2> = void; <template-parameter-1-3> = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:83:31:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:56:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:61:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:71:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/generalized_inverse.hpp: In function 'auto stan::math::generalized_inverse(const VarMat&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/generalized_inverse.hpp:64:9: warning: typedef 'using value_t = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   64 |   using value_t = value_type_t<VarMat>;
      |         ^~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:12:   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<double>::type' {aka '__m128d'} [-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::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:54:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:56:   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<double>::type' {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<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:45:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:46:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:11:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:12:   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<double>::type' {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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -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<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -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::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::Array<double, -1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -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::Array<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:37:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:33:   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<double>::type' {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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:40:   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<double>::type' {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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:58:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:58:74:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:59:22:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:59:30:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > > >'
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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:59:30:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:230:47:   required from 'struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:41:59:   required from 'struct Eigen::EigenBase<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7:   required from 'class Eigen::DiagonalBase<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:245:7:   required from 'class Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:53:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:41:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:15:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:72:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:73:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:36:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:61:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:58:75:   required from 'stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)> [with auto:23 = const Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>; Args = {const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:56:21:   required from 'auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_not_st_arithmetic<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:96:37:   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<double>::type' {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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/functor/idas_forward_system.hpp:148:16:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:13:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:59:9: warning: typedef 'using T_y_val = std::conditional_t<stan::is_vector<T2>::value, Eigen::Matrix<typename stan::partials_return_type<T_y>::type, -1, 1>, typename stan::partials_return_type<T_y>::type>' locally defined but not used [-Wunused-local-typedefs]
   59 |   using T_y_val =
      |         ^~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:31:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:50:9: warning: typedef 'using T_partials_matrix = class Eigen::Matrix<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   50 |   using T_partials_matrix = Eigen::Matrix<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:37:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::beta_proportion_lpdf(const T_y&, const T_loc&, const T_prec&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_lpdf.hpp:55:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   55 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/categorical_logit_glm_lpmf.hpp:143:15:   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<double>::type' {aka '__m128d'} [-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::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/cumulative_sum.hpp:56:49:   required from 'auto stan::math::cumulative_sum(const EigVec&) [with EigVec = Eigen::Matrix<double, -1, 1>; stan::require_eigen_vector_t<C>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/categorical_logit_rng.hpp:37:41:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:63:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::cauchy_lpdf(const T_y&, const T_loc&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_lpdf.hpp:45:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   45 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:74:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp: In function 'stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:60:9: warning: typedef 'using T_partials_vec = struct Eigen::Matrix<typename stan::partials_return_type<T_n, T_prob>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   60 |   using T_partials_vec = typename Eigen::Matrix<T_partials_return, -1, 1>;
      |         ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:42:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:42:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:26:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:91:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::double_exponential_lpdf(const T_y&, const T_loc&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_lpdf.hpp:44:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   44 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:111:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/frechet_cdf.hpp: In function 'stan::return_type_t<T_x, T_sigma, T_l> stan::math::frechet_cdf(const T_y&, const T_shape&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/frechet_cdf.hpp:30:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   30 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 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::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 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::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 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::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41:   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<double>::type' {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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51:   recursively required by substitution of 'template<int Side, class Other> const Eigen::internal::triangular_solve_retval<Side, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Other> Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase<U>&) const [with int Side = <missing>; Other = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32:   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<double>::type' {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<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43:   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<double>::type' {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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 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::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 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::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52:   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<double>::type' {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<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:46:43:   required from 'stan::math::as_array_or_scalar<const std::vector<int>&>(const std::vector<int>&)::<lambda(auto:6&)> [with auto:6 = const std::vector<int>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar<const std::vector<int>&>(const std::vector<int>&)::<lambda(auto:6&)>; Args = {const std::vector<int, std::allocator<int> >&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:46:21:   required from 'auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector<int>&; stan::require_std_vector_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:36:45:   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<int>::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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:55:   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<int>::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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50:   required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:28:   recursively required by substitution of 'template<class ThenDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select(const Eigen::DenseBase<Derived>&, const typename ThenDerived::Scalar&) const [with ThenDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:28:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:52:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:60:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:132:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:138:17:   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<int>::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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:16:   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<int>::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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:71:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::log1m_exp_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log1m_exp.hpp:83:53:   required from 'auto stan::math::log1m_exp(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:59:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:79:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:143:34:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:143:34:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:140:58:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:140:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:23:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.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<double>::type' {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<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:167:33:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:169:50:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:245:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_lpmf.hpp: In function 'stan::return_type_t<T_shared_param, T_job_param> stan::math::ordered_logistic_lpmf(const T_y&, const T_loc&, const T_cut&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_lpmf.hpp:76:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_loc, T_cut>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   76 |   using T_partials_array = Eigen::Array<T_partials_return, -1, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:277:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp:62:9: warning: typedef 'using T_alpha_val = std::conditional_t<stan::is_vector<T_prob>::value, Eigen::Array<typename stan::partials_return_type<T_cut>::type, -1, 1>, typename stan::partials_return_type<T_cut>::type>' locally defined but not used [-Wunused-local-typedefs]
   62 |   using T_alpha_val = typename std::conditional_t<
      |         ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:26:22:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::type' {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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::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<double, 1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:124:17:   required from 'auto stan::math::to_matrix(const std::vector<T>&, int, int) [with T = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   recursively required by substitution of 'template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >::dot(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:62:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:66:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:60:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:18:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:55:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:36:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing.hpp:8,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/model_header.hpp:15,
                 from stanExports_fs.h:22:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/lvalue_varmat.hpp: In function 'void stan::model::assign(Mat1&&, const cons_index_list<index_multi, cons_index_list<index_multi, nil_index_list> >&, const Mat2&, const char*, int)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/lvalue_varmat.hpp:349:9: warning: typedef 'using pair_type = struct std::pair<int, std::vector<int, stan::math::arena_allocator<int> > >' locally defined but not used [-Wunused-local-typedefs]
  349 |   using pair_type = std::pair<int, arena_vec>;
      |         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
stanExports_fs.h: In member function 'virtual void model_fs_namespace::model_fs::transform_inits(const stan::io::var_context&, std::vector<int>&, std::vector<double>&, std::ostream*) const':
stanExports_fs.h:161:24: warning: typedef 'local_scalar_t__' locally defined but not used [-Wunused-local-typedefs]
  161 |         typedef double local_scalar_t__;
      |                        ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_fs.h:274:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_fs.h:274:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:30:13:   required from 'auto stan::math::multiply(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_fs.h:392:109:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:30:13:   required from 'auto stan::math::multiply(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_fs.h:392:109:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/subtract.hpp:94:21:   required from 'auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; <template-parameter-1-3> = void; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_fs.h:392:100:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/subtract.hpp:94:32:   required from 'auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; <template-parameter-1-3> = void; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_fs.h:392:100:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/add.hpp:48:14:   required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, 1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
stanExports_fs.h:392:59:   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<double>::type' {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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:34&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/exp.hpp:62:46:   required from 'auto stan::math::exp(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_fs.h:392:55:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50:   required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:52:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long unsigned int]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:96:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:73:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<long long unsigned int> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   73 |     for (int i = 0; i < dims.size(); i++) {
      |                     ~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long int]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:117:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:73:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<long long unsigned int> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]':
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1238:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1238 |     int ret = stan::services::error_codes::CONFIG;
      |         ^~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:34:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_2F1_converges.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err.hpp:4,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/profiling.hpp:9,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core.hpp:54,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:29:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:22:31:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:47:30:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, -1, -1> >(const char*, const char*, const Eigen::Matrix<double, -1, -1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, -1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:74:30:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, -1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:89:22: warning: comparison of integer expressions of different signedness: 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare]
   89 |   if (p_names.size() != draws.cols()) {
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:107:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare]
  107 |   for (size_t i = 0; i < draws.rows(); ++i) {
      |                      ~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:111:65:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:19:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_cholesky_factor.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err.hpp:7:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp: In instantiation of 'static void stan::math::internal::less_or_equal<T_y, T_high, is_vec>::check(const char*, const char*, const T_y&, const T_high&) [with T_y = long long unsigned int; T_high = long long int; bool is_vec = false]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:74:74:   required from 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&) [with T_y = long long unsigned int; T_high = long long int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:78:36:   required from 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:117:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:23:15: warning: comparison of integer expressions of different signedness: 'const long long unsigned int' and 'long long int' [-Wsign-compare]
   23 |       if (!(y <= high_vec[n])) {
      |            ~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:56:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_fs.h:274:109:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {aka '__m128d'} [-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::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:64:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_fs.h:274:109:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_fs.h:274:109:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:150:39:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_fs.h:274:109:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:26:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_fs.h:274:109:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:40:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_fs.h:274:109:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:58:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_fs.h:274:109:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_fs.h:274:109:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:172:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_fs.h:274:109:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:13:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_fs.h:274:100:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:21:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_fs.h:274:100:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:24:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_fs.h:274:100:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   recursively required by substitution of 'template<class OtherDerived> static std::true_type stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >::f(const Eigen::EigenBase<Derived>*) [with OtherDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from 'struct stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:21:7:   recursively required by substitution of 'template<class T> struct stan::plain_type<T, typename std::enable_if<stan::math::conjunction<stan::is_var<T, void>, stan::is_eigen<typename stan::value_type<T, void>::type> >::value, void>::type> [with T = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:21:7:   required by substitution of 'template<class T> using plain_type_t = typename stan::plain_type<T>::type [with T = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:168:9:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_fs.h:274:100:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:172:47:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_fs.h:274:100:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:157:35:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_fs.h:274:59:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from 'struct stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:20:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8:   required from 'struct stan::is_any_var_matrix<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7:   required by substitution of 'template<class ReturnType, class ... Types> using return_var_matrix_t = std::conditional_t<stan::is_any_var_matrix<ReturnType, Types ...>::value, stan::math::var_value<typename stan::math::promote_scalar_type<double, typename stan::plain_type<T>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename stan::plain_type<T>::type, void>::type> [with ReturnType = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Types = {Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:158:9:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_fs.h:274:59:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:160:47:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_fs.h:274:59:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:162:61:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_fs.h:274:59:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:40:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:468:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:53:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:26:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::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<double, double, false, false>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:91:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:101:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:25:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_fs_namespace::model_fs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
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::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:229:14:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:35:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1847 |             PacketBlock<Packet> 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<double>::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::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::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<double, long long int, 0, 0, 1>; 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/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
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<typename unpacket_traits<SResPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::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<double, 16>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]'
D:/RCompile/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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -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/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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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/LDLT.h:346:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:23:   required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor<model_fs_namespace::model_fs>; Scalar = double; XType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:28:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_fs_namespace::model_fs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:78:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_fs_namespace::model_fs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_fs_namespace::model_fs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_fs_namespace::model_fs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_fs_namespace::model_fs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_fs_namespace::model_fs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20:   required from 'void stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:25:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_fs_namespace::model_fs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:58:75:   required from 'stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)> [with auto:23 = const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:65:31:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = double; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:294:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:40:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = double; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:294:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = double; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:294:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:87:62:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = double; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:294:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:102:57:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = double; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:294:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:104:39:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = double; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:294:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:49:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = double; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:294:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = double; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:294:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:298:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/inv.hpp:55:55:   required from 'stan::math::inv<Eigen::Array<double, -1, 1> >(const Eigen::Array<double, -1, 1>&)::<lambda(const auto:7&)> [with auto:7 = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:84:68:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:300:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:40:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:300:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:300:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Array<double, -1, 1> >(const Eigen::Array<double, -1, 1>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:95:20:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:300:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:300:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/model_header.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp: In instantiation of 'T stan::io::reader<T>::scalar() [with T = double]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:730:38:   required from 'T stan::io::reader<T>::scalar_lub_constrain(TL, TU) [with TL = int; TU = int; T = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:1565:34:   required from 'stan::io::reader<T>::vector_t stan::io::reader<T>::vector_lub_constrain(TL, TU, size_t) [with TL = int; TU = int; T = double; vector_t = Eigen::Matrix<double, -1, 1>; size_t = long long unsigned int]'
stanExports_fs.h:365:81:   required from 'void model_fs_namespace::model_fs::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1091:23:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:26:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:139:14: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >::Index' {aka 'long long int'} [-Wsign-compare]
  139 |     if (pos_ >= data_r_.size()) {
      |         ~~~~~^~~~~~~~~~~~~~~~~
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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:45:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:266:7:   required from 'Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:365:25:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:24:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::Array<double, -1, 1>; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:22:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:74:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -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:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -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:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = double; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_fs.h:294:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_fs.h:298:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/inv.hpp:55:55:   required from 'stan::math::inv<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(const auto:7&)> [with auto:7 = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_fs.h:300:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:40:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_fs.h:300:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_fs.h:300:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:104:39:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_fs.h:300:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:49:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_fs.h:300:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_fs.h:300:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_fs_namespace::model_fs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp: In instantiation of 'T stan::io::reader<T>::scalar() [with T = stan::math::var_value<double>]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:748:38:   required from 'T stan::io::reader<T>::scalar_lub_constrain(TL, TU, T&) [with TL = int; TU = int; T = stan::math::var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:1574:34:   required from 'stan::io::reader<T>::vector_t stan::io::reader<T>::vector_lub_constrain(TL, TU, size_t, T&) [with TL = int; TU = int; T = stan::math::var_value<double>; vector_t = Eigen::Matrix<stan::math::var_value<double>, -1, 1>; size_t = long long unsigned int]'
stanExports_fs.h:254:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:139:14: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::Index' {aka 'long long int'} [-Wsign-compare]
  139 |     if (pos_ >= data_r_.size()) {
      |         ~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:84:30:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:296:49:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<int>::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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:85:33:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:296:49:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<int>::type' {aka '__m128i'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/assert.hpp:35,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:19,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size_type.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/functions.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:38:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint<Model>::failed() [with Model = boost::algorithm::FinderConcept<boost::algorithm::detail::token_finderF<boost::algorithm::detail::is_any_ofF<char> >, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:81:13:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull]
   65 |     static void failed() { ((Model*)0)->constraints(); }
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~^~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:26,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string.hpp:23,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:12:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept<FinderT, IteratorT>::constraints() [with FinderT = boost::algorithm::detail::token_finderF<boost::algorithm::detail::is_any_ofF<char> >; IteratorT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   40 |             void constraints()
      |                  ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:86:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -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/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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_fs.h:296:49:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<int>::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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_fs.h:296:49:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<int>::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::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/advi.hpp:223:11:   required from 'double stan::variational::advi<Model, Q, BaseRNG>::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_fs_namespace::model_fs; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/advi.hpp:468:13:   required from 'int stan::variational::advi<Model, Q, BaseRNG>::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_fs_namespace::model_fs; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:15:   required from 'int stan::services::experimental::advi::meanfield(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:886:18:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:69:16:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = double; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:294:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:69:16:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:300:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:70:15:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:300:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:71:17:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:300:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::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/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:70:15:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_fs.h:300:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:71:17:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_fs.h:300:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:111:35:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, false, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  351 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  352 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  353 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 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/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  385 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> 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<double>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:74:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_fs_namespace::model_fs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:86:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_fs_namespace::model_fs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_fs_namespace::model_fs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:90:38:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = double; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:294:48:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::Array<int, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<int, -1, 1> >; Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::Array<int, -1, 1>; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<int, -1, 1>; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::Array<int, -1, 1>; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:84:10:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_fs.h:296:49:   required from 'T__ model_fs_namespace::model_fs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_fs_namespace::model_fs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:23:88:   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<int>::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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:86:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 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/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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/util/BlasUtil.h:263:43:   required from 'Index Eigen::internal::blas_data_mapper<Scalar, Index, StorageOrder, AlignmentType, 1>::firstAligned(Index) const [with Scalar = const double; Index = long long int; int StorageOrder = 0; int AlignmentType = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:40:   required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  470 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
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/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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 8 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<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:118:14:   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<double>::type' {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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:503:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]'
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/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   60 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   61 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; 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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
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/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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> 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<double>::type' {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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:165:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:256:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:166:55:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:128:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:259:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:259:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::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<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; int ProductTag = 8; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Matrix<double, -1, -1, 1>, 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1, 1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1, 1>; 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_fs_namespace::model_fs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5:   required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:31:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5:   required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   required from 'bool boost::range::equal(const SinglePassRange1&, const SinglePassRange2&) [with SinglePassRange1 = boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; SinglePassRange2 = boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:644:32:   required from 'bool boost::operator==(const iterator_range<IteratorT>&, const iterator_range<Iterator2T>&) [with Iterator1T = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >; Iterator2T = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_iterator.hpp:359:32:   required from 'bool boost::algorithm::split_iterator<IteratorT>::equal(const boost::algorithm::split_iterator<IteratorT>&) const [with IteratorT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:649:26:   required from 'static bool boost::iterators::iterator_core_access::equal(const Facade1&, const Facade2&, mpl_::true_) [with Facade1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; Facade2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; mpl_::true_ = mpl_::bool_<true>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:981:3:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, typename boost::mpl::apply2<boost::iterators::detail::always_bool2, Derived1, Derived2>::type>::type boost::iterators::operator==(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; V1 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; TC1 = forward_traversal_tag; Reference1 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >&; Difference1 = long long int; Derived2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; V2 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; TC2 = forward_traversal_tag; Reference2 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >&; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, typename boost::mpl::apply2<detail::always_bool2, Derived1, Derived2>::type>::type = bool; typename boost::mpl::apply2<detail::always_bool2, Derived1, Derived2>::type = bool]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_adaptor.hpp:305:29:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-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::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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<double, 8>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 12 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 13 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -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/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 12 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_fs_namespace::model_fs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5:   required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::CopyConstructible<TT>::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  167 |     BOOST_CONCEPT_USAGE(CopyConstructible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::IncrementableIteratorConcept<Iterator>::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  136 |             BOOST_CONCEPT_USAGE(IncrementableIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5:   required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::EqualityComparable<TT>::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  233 |     BOOST_CONCEPT_USAGE(EqualityComparable) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<double, 4, 4, 1, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 15 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 14 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, 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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_fs_namespace::model_fs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:713:64:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_fs_namespace::model_fs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1, 1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1, 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<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 9 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 14 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<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:118:14:   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<double>::type' {aka '__m128d'} [-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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29:   [ skipping 14 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_fs_namespace::model_fs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:26:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
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/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 15 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 13 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
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:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::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<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; 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<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_fs_namespace::model_fs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_fs_namespace::model_fs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_fs_namespace::model_fs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_fs_namespace::model_fs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_fs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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 20 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 22 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 31 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 29 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 28 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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 33 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -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<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 27 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_fs_namespace::model_fs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_fs_namespace::model_fs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_fs_namespace::model_fs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_fs_namespace::model_fs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_fs_namespace::model_fs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_fs_namespace::model_fs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {aka '__m128d'} [-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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 14 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_fs_namespace::model_fs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 17 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_fs_namespace::model_fs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_fs_namespace::model_fs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: warning: 'result' may be used uninitialized [-Wmaybe-uninitialized]
  225 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  226 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  227 |       (
      |       ^
  228 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  230 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |       );
      |       ~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:39:24: note: by argument 4 of type 'const double*' to 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' declared here
   39 | EIGEN_DONT_INLINE void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Version>::run(
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Warning in .make_numeric_version(x, strict, .standard_regexps()$valid_numeric_version) :
  invalid non-character version specification 'x' (type: double)
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1  -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"  -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -D_HAS_AUTO_PTR_ETC=0     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c stanExports_nse.cc -o stanExports_nse.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\stanheaders\include\stan\math\prim\fun\eigen.hpp:22,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:1,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_nse.h:20,
                 from stanExports_nse.cc:5:
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<Packet4f> { 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<Packet2d> { 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<Packet4i> { 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<Offset,Packet4f>
      |                                   ^
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<Offset,Packet4i>
      |                                   ^
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<Offset,Packet2d>
      |                                   ^
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<Packet4f,4>& 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<Packet2d,2>& 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<Packet4i,4>& 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<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
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<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
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<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
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<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
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<float, 4>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
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<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<float>::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<float>::type' {aka '__m128'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::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<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
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<float>::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<double, 4>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/shared_ptr.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/time_clock.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:4:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  361 |     explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
      |                                 ^~~~~~~~
In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\memory:76,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:7:
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:250:65: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  250 | template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R >
      |                                                                 ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:507:31: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  507 |     explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
      |                               ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:520:22: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  520 |     shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
      |                      ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:603:34: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  603 |     shared_ptr & operator=( std::auto_ptr<Y> & r )
      |                                  ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:612:34: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  612 |     shared_ptr & operator=( std::auto_ptr<Y> && r )
      |                                  ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr<T>& boost::shared_ptr<T>::operator=(std::auto_ptr<_Up>&&)':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:614:38: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  614 |         this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
      |                                      ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
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/rstan/include/rstan/stan_args.hpp:12,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:20:
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<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<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_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                     -
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
      |     -
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\stanheaders\include\stan\math\prim\fun\eigen.hpp:23:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
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<double>::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<int, -1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<int>::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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
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<int>::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::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
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<int>::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::Matrix<int, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
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<int>::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<double, -1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/typedefs.hpp:12:72:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/typedefs.hpp:12:72:   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<double>::type' {aka '__m128d'} [-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<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:281:19:   required from 'class Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:36:26:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:36:34:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun.hpp:110,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:8,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:35:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/generalized_inverse.hpp: In function 'Eigen::Matrix<typename stan::value_type<T>::type, EigMat::ColsAtCompileTime, EigMat::RowsAtCompileTime> stan::math::generalized_inverse(const EigMat&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/generalized_inverse.hpp:34:9: warning: typedef 'using value_t = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   34 |   using value_t = value_type_t<EigMat>;
      |         ^~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/identity_matrix.hpp:19:35:   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<double>::type' {aka '__m128d'} [-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::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49:   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<double>::type' {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::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_int_array.hpp:41:49:   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<int>::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::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28:   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<double>::type' {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::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53:   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<double>::type' {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::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72:   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<double>::type' {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::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:33:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:25:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:25:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:35:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:115:33:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun.hpp:319:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tail.hpp: In function 'std::vector<T> stan::math::tail(const std::vector<T>&, size_t)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tail.hpp:46:9: warning: typedef 'using idx_t = stan::math::index_type_t<std::vector<T> >' locally defined but not used [-Wunused-local-typedefs]
   46 |   using idx_t = index_type_t<std::vector<T>>;
      |         ^~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19:   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<double>::type' {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<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30:   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<double>::type' {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<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/traits.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:27,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/vector.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint.hpp:25,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp: At global scope:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  111 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_algobase.h:65,
                 from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\specfun.h:45,
                 from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\cmath:1935,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/r/headers.h:62,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/RcppCommon.h:30,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:27,
                 from stanExports_nse.cc:3:
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  149 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  204 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/invoke.hpp:52,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/adapter/fused.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/generation/make_fused.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/include/make_fused.hpp:11,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:28,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/get_pointer.hpp:48:40: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
   48 | template<class T> T * get_pointer(std::auto_ptr<T> const& p)
      |                                        ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:54:9:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:103:16:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:112:28:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:117:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:32:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp: In lambda function:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:83:11: warning: typedef 'using Block_ = class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>' locally defined but not used [-Wunused-local-typedefs]
   83 |     using Block_ = Eigen::Block<Eigen::MatrixXd>;
      |           ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:61:39:   required from 'class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:143:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Map<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:145:6:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:643:29:   required from 'class stan::math::vari_value<Eigen::Matrix<double, -1, 1>, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:408:48:   required from 'const auto& stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::val() const [with T = Eigen::Matrix<double, -1, 1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_corr_constrain.hpp:44:33:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:43:17:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:34:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp: In function 'stan::math::var_value<Eigen::Matrix<double, -1, -1> > stan::math::cholesky_factor_constrain(const T&, int, int)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:32:9: warning: typedef 'using T_scalar = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   32 |   using T_scalar = value_type_t<T>;
      |         ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:50:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:46:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:23:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:36:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:62:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:71:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:73:41:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:45:15:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:42:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:110:66:   required from 'stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)> [with auto:19 = const Eigen::Matrix<stan::math::var_value<double>, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>; Args = {const Eigen::Matrix<stan::math::var_value<double, void>, -1, -1, 0, -1, -1>&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:108:21:   required from 'auto stan::math::value_of_rec(T&&) [with T = const Eigen::Matrix<var_value<double>, -1, -1>&; <template-parameter-1-2> = void; <template-parameter-1-3> = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:83:31:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:56:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:61:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:71:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/generalized_inverse.hpp: In function 'auto stan::math::generalized_inverse(const VarMat&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/generalized_inverse.hpp:64:9: warning: typedef 'using value_t = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   64 |   using value_t = value_type_t<VarMat>;
      |         ^~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:12:   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<double>::type' {aka '__m128d'} [-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::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:54:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:56:   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<double>::type' {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<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:45:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:46:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:11:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:12:   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<double>::type' {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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -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<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -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::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::Array<double, -1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -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::Array<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:37:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:33:   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<double>::type' {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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:40:   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<double>::type' {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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:58:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:58:74:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:59:22:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:59:30:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > > >'
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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:59:30:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:230:47:   required from 'struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:41:59:   required from 'struct Eigen::EigenBase<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7:   required from 'class Eigen::DiagonalBase<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:245:7:   required from 'class Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:53:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:41:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:15:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:72:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:73:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:36:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:61:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:58:75:   required from 'stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)> [with auto:23 = const Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>; Args = {const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:56:21:   required from 'auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_not_st_arithmetic<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:96:37:   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<double>::type' {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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/functor/idas_forward_system.hpp:148:16:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:13:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:59:9: warning: typedef 'using T_y_val = std::conditional_t<stan::is_vector<T2>::value, Eigen::Matrix<typename stan::partials_return_type<T_y>::type, -1, 1>, typename stan::partials_return_type<T_y>::type>' locally defined but not used [-Wunused-local-typedefs]
   59 |   using T_y_val =
      |         ^~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:31:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:50:9: warning: typedef 'using T_partials_matrix = class Eigen::Matrix<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   50 |   using T_partials_matrix = Eigen::Matrix<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:37:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::beta_proportion_lpdf(const T_y&, const T_loc&, const T_prec&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_lpdf.hpp:55:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   55 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/categorical_logit_glm_lpmf.hpp:143:15:   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<double>::type' {aka '__m128d'} [-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::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/cumulative_sum.hpp:56:49:   required from 'auto stan::math::cumulative_sum(const EigVec&) [with EigVec = Eigen::Matrix<double, -1, 1>; stan::require_eigen_vector_t<C>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/categorical_logit_rng.hpp:37:41:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:63:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::cauchy_lpdf(const T_y&, const T_loc&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_lpdf.hpp:45:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   45 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:74:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp: In function 'stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:60:9: warning: typedef 'using T_partials_vec = struct Eigen::Matrix<typename stan::partials_return_type<T_n, T_prob>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   60 |   using T_partials_vec = typename Eigen::Matrix<T_partials_return, -1, 1>;
      |         ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:42:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:42:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:26:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:91:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::double_exponential_lpdf(const T_y&, const T_loc&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_lpdf.hpp:44:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   44 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:111:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/frechet_cdf.hpp: In function 'stan::return_type_t<T_x, T_sigma, T_l> stan::math::frechet_cdf(const T_y&, const T_shape&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/frechet_cdf.hpp:30:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   30 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 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::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 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::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 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::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41:   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<double>::type' {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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51:   recursively required by substitution of 'template<int Side, class Other> const Eigen::internal::triangular_solve_retval<Side, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Other> Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase<U>&) const [with int Side = <missing>; Other = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32:   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<double>::type' {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<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43:   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<double>::type' {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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 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::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 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::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52:   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<double>::type' {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<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:46:43:   required from 'stan::math::as_array_or_scalar<const std::vector<int>&>(const std::vector<int>&)::<lambda(auto:6&)> [with auto:6 = const std::vector<int>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar<const std::vector<int>&>(const std::vector<int>&)::<lambda(auto:6&)>; Args = {const std::vector<int, std::allocator<int> >&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:46:21:   required from 'auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector<int>&; stan::require_std_vector_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:36:45:   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<int>::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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:55:   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<int>::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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50:   required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:28:   recursively required by substitution of 'template<class ThenDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select(const Eigen::DenseBase<Derived>&, const typename ThenDerived::Scalar&) const [with ThenDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:28:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:52:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:60:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:132:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:138:17:   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<int>::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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:16:   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<int>::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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:71:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::log1m_exp_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log1m_exp.hpp:83:53:   required from 'auto stan::math::log1m_exp(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:59:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:79:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:143:34:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:143:34:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:140:58:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:140:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:23:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.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<double>::type' {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<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:167:33:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:169:50:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:245:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_lpmf.hpp: In function 'stan::return_type_t<T_shared_param, T_job_param> stan::math::ordered_logistic_lpmf(const T_y&, const T_loc&, const T_cut&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_lpmf.hpp:76:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_loc, T_cut>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   76 |   using T_partials_array = Eigen::Array<T_partials_return, -1, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:277:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp:62:9: warning: typedef 'using T_alpha_val = std::conditional_t<stan::is_vector<T_prob>::value, Eigen::Array<typename stan::partials_return_type<T_cut>::type, -1, 1>, typename stan::partials_return_type<T_cut>::type>' locally defined but not used [-Wunused-local-typedefs]
   62 |   using T_alpha_val = typename std::conditional_t<
      |         ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:26:22:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::type' {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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::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<double, 1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:124:17:   required from 'auto stan::math::to_matrix(const std::vector<T>&, int, int) [with T = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   recursively required by substitution of 'template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >::dot(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:62:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:66:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:60:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:18:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:55:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:36:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing.hpp:8,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/model_header.hpp:15,
                 from stanExports_nse.h:22:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/lvalue_varmat.hpp: In function 'void stan::model::assign(Mat1&&, const cons_index_list<index_multi, cons_index_list<index_multi, nil_index_list> >&, const Mat2&, const char*, int)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/lvalue_varmat.hpp:349:9: warning: typedef 'using pair_type = struct std::pair<int, std::vector<int, stan::math::arena_allocator<int> > >' locally defined but not used [-Wunused-local-typedefs]
  349 |   using pair_type = std::pair<int, arena_vec>;
      |         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
stanExports_nse.h: In member function 'virtual void model_nse_namespace::model_nse::transform_inits(const stan::io::var_context&, std::vector<int>&, std::vector<double>&, std::ostream*) const':
stanExports_nse.h:160:24: warning: typedef 'local_scalar_t__' locally defined but not used [-Wunused-local-typedefs]
  160 |         typedef double local_scalar_t__;
      |                        ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_nse.h:269:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_nse.h:269:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:30:13:   required from 'auto stan::math::multiply(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_nse.h:387:109:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:30:13:   required from 'auto stan::math::multiply(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_nse.h:387:109:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/subtract.hpp:94:21:   required from 'auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; <template-parameter-1-3> = void; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_nse.h:387:100:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/subtract.hpp:94:32:   required from 'auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; <template-parameter-1-3> = void; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_nse.h:387:100:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/add.hpp:48:14:   required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, 1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
stanExports_nse.h:387:59:   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<double>::type' {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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:34&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/exp.hpp:62:46:   required from 'auto stan::math::exp(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_nse.h:387:55:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50:   required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:52:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long unsigned int]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:96:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:73:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<long long unsigned int> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   73 |     for (int i = 0; i < dims.size(); i++) {
      |                     ~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long int]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:117:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:73:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<long long unsigned int> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]':
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1238:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1238 |     int ret = stan::services::error_codes::CONFIG;
      |         ^~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:34:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_2F1_converges.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err.hpp:4,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/profiling.hpp:9,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core.hpp:54,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:29:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:22:31:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:47:30:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, -1, -1> >(const char*, const char*, const Eigen::Matrix<double, -1, -1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, -1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:74:30:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, -1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:89:22: warning: comparison of integer expressions of different signedness: 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare]
   89 |   if (p_names.size() != draws.cols()) {
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:107:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare]
  107 |   for (size_t i = 0; i < draws.rows(); ++i) {
      |                      ~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:111:65:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:19:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_cholesky_factor.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err.hpp:7:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp: In instantiation of 'static void stan::math::internal::less_or_equal<T_y, T_high, is_vec>::check(const char*, const char*, const T_y&, const T_high&) [with T_y = long long unsigned int; T_high = long long int; bool is_vec = false]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:74:74:   required from 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&) [with T_y = long long unsigned int; T_high = long long int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:78:36:   required from 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:117:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:23:15: warning: comparison of integer expressions of different signedness: 'const long long unsigned int' and 'long long int' [-Wsign-compare]
   23 |       if (!(y <= high_vec[n])) {
      |            ~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:56:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_nse.h:269:109:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {aka '__m128d'} [-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::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:64:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_nse.h:269:109:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_nse.h:269:109:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:150:39:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_nse.h:269:109:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:26:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_nse.h:269:109:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:40:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_nse.h:269:109:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:58:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_nse.h:269:109:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_nse.h:269:109:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:172:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_nse.h:269:109:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:13:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_nse.h:269:100:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:21:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_nse.h:269:100:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:24:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_nse.h:269:100:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   recursively required by substitution of 'template<class OtherDerived> static std::true_type stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >::f(const Eigen::EigenBase<Derived>*) [with OtherDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from 'struct stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:21:7:   recursively required by substitution of 'template<class T> struct stan::plain_type<T, typename std::enable_if<stan::math::conjunction<stan::is_var<T, void>, stan::is_eigen<typename stan::value_type<T, void>::type> >::value, void>::type> [with T = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:21:7:   required by substitution of 'template<class T> using plain_type_t = typename stan::plain_type<T>::type [with T = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:168:9:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_nse.h:269:100:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:172:47:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_nse.h:269:100:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:157:35:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_nse.h:269:59:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from 'struct stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:20:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8:   required from 'struct stan::is_any_var_matrix<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7:   required by substitution of 'template<class ReturnType, class ... Types> using return_var_matrix_t = std::conditional_t<stan::is_any_var_matrix<ReturnType, Types ...>::value, stan::math::var_value<typename stan::math::promote_scalar_type<double, typename stan::plain_type<T>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename stan::plain_type<T>::type, void>::type> [with ReturnType = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Types = {Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:158:9:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_nse.h:269:59:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:160:47:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_nse.h:269:59:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:162:61:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_nse.h:269:59:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:40:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:468:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:53:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:26:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::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<double, double, false, false>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:91:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:101:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:25:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_nse_namespace::model_nse>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/model_header.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp: In instantiation of 'T stan::io::reader<T>::scalar() [with T = double]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:151:40:   required from 'T stan::io::reader<T>::scalar_constrain() [with T = double]'
stanExports_nse.h:358:43:   required from 'void model_nse_namespace::model_nse::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1091:23:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:26:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:139:14: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >::Index' {aka 'long long int'} [-Wsign-compare]
  139 |     if (pos_ >= data_r_.size()) {
      |         ~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
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::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:229:14:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:35:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1847 |             PacketBlock<Packet> 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<double>::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::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::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<double, long long int, 0, 0, 1>; 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/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
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<typename unpacket_traits<SResPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::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<double, 16>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]'
D:/RCompile/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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -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/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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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/LDLT.h:346:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:23:   required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor<model_nse_namespace::model_nse>; Scalar = double; XType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:28:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_nse_namespace::model_nse>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {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<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:78:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_nse_namespace::model_nse>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_nse_namespace::model_nse>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_nse_namespace::model_nse>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_nse_namespace::model_nse>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_nse_namespace::model_nse>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20:   required from 'void stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:25:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_nse_namespace::model_nse>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp: In instantiation of 'T stan::io::reader<T>::scalar() [with T = stan::math::var_value<double>]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:164:56:   required from 'T stan::io::reader<T>::scalar_constrain(T&) [with T = stan::math::var_value<double>]'
stanExports_nse.h:242:44:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:139:14: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::Index' {aka 'long long int'} [-Wsign-compare]
  139 |     if (pos_ >= data_r_.size()) {
      |         ~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:58:75:   required from 'stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)> [with auto:23 = const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:69:31:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_nse.h:291:49:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_nse.h:293:48:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:87:62:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_nse.h:293:48:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:102:57:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_nse.h:293:48:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:104:39:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_nse.h:293:48:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:49:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_nse.h:293:48:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_nse.h:293:48:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/inv.hpp:55:55:   required from 'stan::math::inv<Eigen::Array<double, -1, 1> >(const Eigen::Array<double, -1, 1>&)::<lambda(const auto:7&)> [with auto:7 = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:84:68:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = var_value<double>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = var_value<double>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_nse.h:295:48:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = var_value<double>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = var_value<double>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_nse.h:295:48:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Array<double, -1, 1> >(const Eigen::Array<double, -1, 1>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:95:20:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = var_value<double>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = var_value<double>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_nse.h:295:48:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = var_value<double>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = var_value<double>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_nse.h:295:48:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:45:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:266:7:   required from 'Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:365:25:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:24:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::Array<double, -1, 1>; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:22:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:74:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -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:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -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:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_nse.h:293:48:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/inv.hpp:55:55:   required from 'stan::math::inv<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(const auto:7&)> [with auto:7 = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = double; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_nse.h:295:48:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:104:39:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = double; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = double; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_nse.h:295:48:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:49:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = double; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = double; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_nse.h:295:48:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = double; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = double; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_nse.h:295:48:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_nse_namespace::model_nse>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:84:30:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_nse.h:291:49:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<int>::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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:85:33:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_nse.h:291:49:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<int>::type' {aka '__m128i'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/assert.hpp:35,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:19,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size_type.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/functions.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:38:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint<Model>::failed() [with Model = boost::algorithm::FinderConcept<boost::algorithm::detail::token_finderF<boost::algorithm::detail::is_any_ofF<char> >, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:81:13:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull]
   65 |     static void failed() { ((Model*)0)->constraints(); }
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~^~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:26,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string.hpp:23,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:12:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept<FinderT, IteratorT>::constraints() [with FinderT = boost::algorithm::detail::token_finderF<boost::algorithm::detail::is_any_ofF<char> >; IteratorT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   40 |             void constraints()
      |                  ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:86:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -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/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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_nse.h:291:49:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<int>::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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_nse.h:291:49:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<int>::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::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/advi.hpp:223:11:   required from 'double stan::variational::advi<Model, Q, BaseRNG>::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_nse_namespace::model_nse; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/advi.hpp:468:13:   required from 'int stan::variational::advi<Model, Q, BaseRNG>::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_nse_namespace::model_nse; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:15:   required from 'int stan::services::experimental::advi::meanfield(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:886:18:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:73:16:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_nse.h:291:49:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:69:16:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = var_value<double>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = var_value<double>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_nse.h:295:48:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:71:17:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = var_value<double>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = var_value<double>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_nse.h:295:48:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::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/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:71:17:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = double; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = double; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_nse.h:295:48:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:111:35:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, false, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  351 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  352 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  353 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 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/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  385 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> 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<double>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:74:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_nse_namespace::model_nse>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:86:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_nse_namespace::model_nse>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_nse_namespace::model_nse>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::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<Derived>&) [with Derived = Eigen::Array<int, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<int, -1, 1> >; Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::Array<int, -1, 1>; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<int, -1, 1>; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::Array<int, -1, 1>; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:84:10:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_nse.h:291:49:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:90:38:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_nse.h:293:48:   required from 'T__ model_nse_namespace::model_nse::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_nse_namespace::model_nse; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:23:88:   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<double>::type' {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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:86:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 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/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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/util/BlasUtil.h:263:43:   required from 'Index Eigen::internal::blas_data_mapper<Scalar, Index, StorageOrder, AlignmentType, 1>::firstAligned(Index) const [with Scalar = const double; Index = long long int; int StorageOrder = 0; int AlignmentType = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:40:   required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  470 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
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/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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 8 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<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:118:14:   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<double>::type' {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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:503:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]'
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/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   60 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   61 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; 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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
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/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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> 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<double>::type' {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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:165:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:256:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:166:55:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:128:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:259:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:259:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::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<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; int ProductTag = 8; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Matrix<double, -1, -1, 1>, 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1, 1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1, 1>; 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_nse_namespace::model_nse>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5:   required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:31:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5:   required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   required from 'bool boost::range::equal(const SinglePassRange1&, const SinglePassRange2&) [with SinglePassRange1 = boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; SinglePassRange2 = boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:644:32:   required from 'bool boost::operator==(const iterator_range<IteratorT>&, const iterator_range<Iterator2T>&) [with Iterator1T = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >; Iterator2T = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_iterator.hpp:359:32:   required from 'bool boost::algorithm::split_iterator<IteratorT>::equal(const boost::algorithm::split_iterator<IteratorT>&) const [with IteratorT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:649:26:   required from 'static bool boost::iterators::iterator_core_access::equal(const Facade1&, const Facade2&, mpl_::true_) [with Facade1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; Facade2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; mpl_::true_ = mpl_::bool_<true>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:981:3:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, typename boost::mpl::apply2<boost::iterators::detail::always_bool2, Derived1, Derived2>::type>::type boost::iterators::operator==(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; V1 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; TC1 = forward_traversal_tag; Reference1 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >&; Difference1 = long long int; Derived2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; V2 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; TC2 = forward_traversal_tag; Reference2 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >&; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, typename boost::mpl::apply2<detail::always_bool2, Derived1, Derived2>::type>::type = bool; typename boost::mpl::apply2<detail::always_bool2, Derived1, Derived2>::type = bool]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_adaptor.hpp:305:29:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-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::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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<double, 8>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 12 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 13 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -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/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 12 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_nse_namespace::model_nse>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5:   required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::CopyConstructible<TT>::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  167 |     BOOST_CONCEPT_USAGE(CopyConstructible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::IncrementableIteratorConcept<Iterator>::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  136 |             BOOST_CONCEPT_USAGE(IncrementableIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5:   required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::EqualityComparable<TT>::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  233 |     BOOST_CONCEPT_USAGE(EqualityComparable) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<double, 4, 4, 1, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 15 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 14 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, 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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_nse_namespace::model_nse>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:713:64:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_nse_namespace::model_nse>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1, 1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1, 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<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 9 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 14 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<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:118:14:   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<double>::type' {aka '__m128d'} [-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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29:   [ skipping 14 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_nse_namespace::model_nse>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:26:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
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/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 15 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 13 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
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:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::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<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; 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<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_nse_namespace::model_nse, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_nse_namespace::model_nse; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_nse_namespace::model_nse]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_nse_namespace::model_nse; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_nse.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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 20 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 22 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 31 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 29 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 28 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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 33 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -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<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 27 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_nse_namespace::model_nse; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_nse_namespace::model_nse; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_nse_namespace::model_nse; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_nse_namespace::model_nse; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_nse_namespace::model_nse; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_nse_namespace::model_nse; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {aka '__m128d'} [-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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 14 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_nse_namespace::model_nse; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 17 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_nse_namespace::model_nse; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_nse_namespace::model_nse; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: warning: 'result' may be used uninitialized [-Wmaybe-uninitialized]
  225 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  226 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  227 |       (
      |       ^
  228 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  230 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |       );
      |       ~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:39:24: note: by argument 4 of type 'const double*' to 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' declared here
   39 | EIGEN_DONT_INLINE void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Version>::run(
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Warning in .make_numeric_version(x, strict, .standard_regexps()$valid_numeric_version) :
  invalid non-character version specification 'x' (type: double)
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1  -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"  -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -D_HAS_AUTO_PTR_ETC=0     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c stanExports_sr.cc -o stanExports_sr.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\stanheaders\include\stan\math\prim\fun\eigen.hpp:22,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:1,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_sr.h:20,
                 from stanExports_sr.cc:5:
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<Packet4f> { 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<Packet2d> { 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<Packet4i> { 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<Offset,Packet4f>
      |                                   ^
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<Offset,Packet4i>
      |                                   ^
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<Offset,Packet2d>
      |                                   ^
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<Packet4f,4>& 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<Packet2d,2>& 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<Packet4i,4>& 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<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
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<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
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<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
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<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
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<float, 4>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
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<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<float>::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<float>::type' {aka '__m128'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::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<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
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<float>::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<double, 4>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/shared_ptr.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/time_clock.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:4:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  361 |     explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
      |                                 ^~~~~~~~
In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\memory:76,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:7:
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:250:65: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  250 | template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R >
      |                                                                 ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:507:31: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  507 |     explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
      |                               ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:520:22: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  520 |     shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
      |                      ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:603:34: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  603 |     shared_ptr & operator=( std::auto_ptr<Y> & r )
      |                                  ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:612:34: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  612 |     shared_ptr & operator=( std::auto_ptr<Y> && r )
      |                                  ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr<T>& boost::shared_ptr<T>::operator=(std::auto_ptr<_Up>&&)':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:614:38: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  614 |         this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
      |                                      ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
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/rstan/include/rstan/stan_args.hpp:12,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:20:
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<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<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_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                     -
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
      |     -
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\stanheaders\include\stan\math\prim\fun\eigen.hpp:23:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
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<double>::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<int, -1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<int>::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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
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<int>::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::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
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<int>::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::Matrix<int, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
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<int>::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<double, -1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/typedefs.hpp:12:72:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/typedefs.hpp:12:72:   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<double>::type' {aka '__m128d'} [-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<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:281:19:   required from 'class Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:36:26:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:36:34:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun.hpp:110,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:8,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:35:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/generalized_inverse.hpp: In function 'Eigen::Matrix<typename stan::value_type<T>::type, EigMat::ColsAtCompileTime, EigMat::RowsAtCompileTime> stan::math::generalized_inverse(const EigMat&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/generalized_inverse.hpp:34:9: warning: typedef 'using value_t = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   34 |   using value_t = value_type_t<EigMat>;
      |         ^~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/identity_matrix.hpp:19:35:   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<double>::type' {aka '__m128d'} [-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::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49:   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<double>::type' {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::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_int_array.hpp:41:49:   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<int>::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::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28:   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<double>::type' {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::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53:   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<double>::type' {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::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72:   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<double>::type' {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::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:33:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:25:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:25:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:35:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:115:33:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun.hpp:319:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tail.hpp: In function 'std::vector<T> stan::math::tail(const std::vector<T>&, size_t)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tail.hpp:46:9: warning: typedef 'using idx_t = stan::math::index_type_t<std::vector<T> >' locally defined but not used [-Wunused-local-typedefs]
   46 |   using idx_t = index_type_t<std::vector<T>>;
      |         ^~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19:   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<double>::type' {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<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30:   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<double>::type' {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<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/traits.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:27,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/vector.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint.hpp:25,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp: At global scope:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  111 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_algobase.h:65,
                 from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\specfun.h:45,
                 from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\cmath:1935,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/r/headers.h:62,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/RcppCommon.h:30,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:27,
                 from stanExports_sr.cc:3:
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  149 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  204 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/invoke.hpp:52,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/adapter/fused.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/generation/make_fused.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/include/make_fused.hpp:11,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:28,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/get_pointer.hpp:48:40: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
   48 | template<class T> T * get_pointer(std::auto_ptr<T> const& p)
      |                                        ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:54:9:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:103:16:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:112:28:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:117:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:32:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp: In lambda function:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:83:11: warning: typedef 'using Block_ = class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>' locally defined but not used [-Wunused-local-typedefs]
   83 |     using Block_ = Eigen::Block<Eigen::MatrixXd>;
      |           ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:61:39:   required from 'class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:143:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Map<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:145:6:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:643:29:   required from 'class stan::math::vari_value<Eigen::Matrix<double, -1, 1>, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:408:48:   required from 'const auto& stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::val() const [with T = Eigen::Matrix<double, -1, 1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_corr_constrain.hpp:44:33:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:43:17:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:34:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp: In function 'stan::math::var_value<Eigen::Matrix<double, -1, -1> > stan::math::cholesky_factor_constrain(const T&, int, int)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:32:9: warning: typedef 'using T_scalar = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   32 |   using T_scalar = value_type_t<T>;
      |         ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:50:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:46:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:23:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:36:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:62:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:71:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:73:41:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:45:15:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:42:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:110:66:   required from 'stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)> [with auto:19 = const Eigen::Matrix<stan::math::var_value<double>, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>; Args = {const Eigen::Matrix<stan::math::var_value<double, void>, -1, -1, 0, -1, -1>&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:108:21:   required from 'auto stan::math::value_of_rec(T&&) [with T = const Eigen::Matrix<var_value<double>, -1, -1>&; <template-parameter-1-2> = void; <template-parameter-1-3> = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:83:31:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:56:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:61:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:71:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/generalized_inverse.hpp: In function 'auto stan::math::generalized_inverse(const VarMat&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/generalized_inverse.hpp:64:9: warning: typedef 'using value_t = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   64 |   using value_t = value_type_t<VarMat>;
      |         ^~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:12:   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<double>::type' {aka '__m128d'} [-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::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:54:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:56:   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<double>::type' {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<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:45:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:46:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:11:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:12:   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<double>::type' {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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -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<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -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::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::Array<double, -1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -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::Array<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:37:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:33:   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<double>::type' {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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:40:   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<double>::type' {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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:58:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:58:74:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:59:22:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:59:30:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > > >'
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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:59:30:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:230:47:   required from 'struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:41:59:   required from 'struct Eigen::EigenBase<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7:   required from 'class Eigen::DiagonalBase<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:245:7:   required from 'class Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:53:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:41:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:15:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:72:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:73:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:36:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:61:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:58:75:   required from 'stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)> [with auto:23 = const Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>; Args = {const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:56:21:   required from 'auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_not_st_arithmetic<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:96:37:   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<double>::type' {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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/functor/idas_forward_system.hpp:148:16:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:13:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:59:9: warning: typedef 'using T_y_val = std::conditional_t<stan::is_vector<T2>::value, Eigen::Matrix<typename stan::partials_return_type<T_y>::type, -1, 1>, typename stan::partials_return_type<T_y>::type>' locally defined but not used [-Wunused-local-typedefs]
   59 |   using T_y_val =
      |         ^~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:31:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:50:9: warning: typedef 'using T_partials_matrix = class Eigen::Matrix<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   50 |   using T_partials_matrix = Eigen::Matrix<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:37:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::beta_proportion_lpdf(const T_y&, const T_loc&, const T_prec&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_lpdf.hpp:55:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   55 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/categorical_logit_glm_lpmf.hpp:143:15:   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<double>::type' {aka '__m128d'} [-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::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/cumulative_sum.hpp:56:49:   required from 'auto stan::math::cumulative_sum(const EigVec&) [with EigVec = Eigen::Matrix<double, -1, 1>; stan::require_eigen_vector_t<C>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/categorical_logit_rng.hpp:37:41:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:63:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::cauchy_lpdf(const T_y&, const T_loc&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_lpdf.hpp:45:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   45 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:74:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp: In function 'stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:60:9: warning: typedef 'using T_partials_vec = struct Eigen::Matrix<typename stan::partials_return_type<T_n, T_prob>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   60 |   using T_partials_vec = typename Eigen::Matrix<T_partials_return, -1, 1>;
      |         ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:42:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:42:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:26:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:91:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::double_exponential_lpdf(const T_y&, const T_loc&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_lpdf.hpp:44:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   44 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:111:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/frechet_cdf.hpp: In function 'stan::return_type_t<T_x, T_sigma, T_l> stan::math::frechet_cdf(const T_y&, const T_shape&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/frechet_cdf.hpp:30:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   30 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 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::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 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::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 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::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41:   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<double>::type' {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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51:   recursively required by substitution of 'template<int Side, class Other> const Eigen::internal::triangular_solve_retval<Side, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Other> Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase<U>&) const [with int Side = <missing>; Other = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32:   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<double>::type' {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<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43:   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<double>::type' {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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 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::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 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::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52:   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<double>::type' {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<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:46:43:   required from 'stan::math::as_array_or_scalar<const std::vector<int>&>(const std::vector<int>&)::<lambda(auto:6&)> [with auto:6 = const std::vector<int>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar<const std::vector<int>&>(const std::vector<int>&)::<lambda(auto:6&)>; Args = {const std::vector<int, std::allocator<int> >&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:46:21:   required from 'auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector<int>&; stan::require_std_vector_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:36:45:   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<int>::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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:55:   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<int>::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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50:   required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:28:   recursively required by substitution of 'template<class ThenDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select(const Eigen::DenseBase<Derived>&, const typename ThenDerived::Scalar&) const [with ThenDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:28:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:52:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:60:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:132:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:138:17:   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<int>::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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:16:   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<int>::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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:71:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::log1m_exp_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log1m_exp.hpp:83:53:   required from 'auto stan::math::log1m_exp(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:59:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:79:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:143:34:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:143:34:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:140:58:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:140:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:23:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.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<double>::type' {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<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:167:33:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:169:50:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:245:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_lpmf.hpp: In function 'stan::return_type_t<T_shared_param, T_job_param> stan::math::ordered_logistic_lpmf(const T_y&, const T_loc&, const T_cut&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_lpmf.hpp:76:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_loc, T_cut>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   76 |   using T_partials_array = Eigen::Array<T_partials_return, -1, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:277:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp:62:9: warning: typedef 'using T_alpha_val = std::conditional_t<stan::is_vector<T_prob>::value, Eigen::Array<typename stan::partials_return_type<T_cut>::type, -1, 1>, typename stan::partials_return_type<T_cut>::type>' locally defined but not used [-Wunused-local-typedefs]
   62 |   using T_alpha_val = typename std::conditional_t<
      |         ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:26:22:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::type' {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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::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<double, 1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:124:17:   required from 'auto stan::math::to_matrix(const std::vector<T>&, int, int) [with T = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   recursively required by substitution of 'template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >::dot(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:62:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:66:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:60:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:18:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:55:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:36:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing.hpp:8,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/model_header.hpp:15,
                 from stanExports_sr.h:22:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/lvalue_varmat.hpp: In function 'void stan::model::assign(Mat1&&, const cons_index_list<index_multi, cons_index_list<index_multi, nil_index_list> >&, const Mat2&, const char*, int)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/lvalue_varmat.hpp:349:9: warning: typedef 'using pair_type = struct std::pair<int, std::vector<int, stan::math::arena_allocator<int> > >' locally defined but not used [-Wunused-local-typedefs]
  349 |   using pair_type = std::pair<int, arena_vec>;
      |         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
stanExports_sr.h: In member function 'virtual void model_sr_namespace::model_sr::transform_inits(const stan::io::var_context&, std::vector<int>&, std::vector<double>&, std::ostream*) const':
stanExports_sr.h:194:24: warning: typedef 'local_scalar_t__' locally defined but not used [-Wunused-local-typedefs]
  194 |         typedef double local_scalar_t__;
      |                        ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_sr.h:332:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_sr.h:332:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:30:13:   required from 'auto stan::math::multiply(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_sr.h:477:109:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:30:13:   required from 'auto stan::math::multiply(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_sr.h:477:109:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/subtract.hpp:94:21:   required from 'auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; <template-parameter-1-3> = void; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_sr.h:477:100:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/subtract.hpp:94:32:   required from 'auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; <template-parameter-1-3> = void; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_sr.h:477:100:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/add.hpp:48:14:   required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, 1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
stanExports_sr.h:477:59:   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<double>::type' {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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:34&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/exp.hpp:62:46:   required from 'auto stan::math::exp(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_sr.h:477:55:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/add.hpp:88:13:   required from 'auto stan::math::add(Scal, const Mat&) [with Scal = double; Mat = Eigen::Matrix<double, -1, 1>; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<S>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
stanExports_sr.h:483:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/add.hpp:88:32:   required from 'auto stan::math::add(Scal, const Mat&) [with Scal = double; Mat = Eigen::Matrix<double, -1, 1>; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<S>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
stanExports_sr.h:483:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50:   required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:52:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long unsigned int]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:96:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:73:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<long long unsigned int> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   73 |     for (int i = 0; i < dims.size(); i++) {
      |                     ~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long int]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:117:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:73:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<long long unsigned int> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]':
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1238:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1238 |     int ret = stan::services::error_codes::CONFIG;
      |         ^~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:34:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_2F1_converges.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err.hpp:4,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/profiling.hpp:9,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core.hpp:54,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:29:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:22:31:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:47:30:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, -1, -1> >(const char*, const char*, const Eigen::Matrix<double, -1, -1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, -1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:74:30:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, -1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:89:22: warning: comparison of integer expressions of different signedness: 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare]
   89 |   if (p_names.size() != draws.cols()) {
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:107:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare]
  107 |   for (size_t i = 0; i < draws.rows(); ++i) {
      |                      ~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:111:65:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:19:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_cholesky_factor.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err.hpp:7:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp: In instantiation of 'static void stan::math::internal::less_or_equal<T_y, T_high, is_vec>::check(const char*, const char*, const T_y&, const T_high&) [with T_y = long long unsigned int; T_high = long long int; bool is_vec = false]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:74:74:   required from 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&) [with T_y = long long unsigned int; T_high = long long int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:78:36:   required from 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:117:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:23:15: warning: comparison of integer expressions of different signedness: 'const long long unsigned int' and 'long long int' [-Wsign-compare]
   23 |       if (!(y <= high_vec[n])) {
      |            ~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:56:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:332:109:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {aka '__m128d'} [-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::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:64:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:332:109:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:332:109:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:150:39:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:332:109:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:26:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:332:109:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:40:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:332:109:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:58:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:332:109:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:332:109:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:172:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:332:109:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:13:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_sr.h:332:100:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:21:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_sr.h:332:100:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:24:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_sr.h:332:100:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   recursively required by substitution of 'template<class OtherDerived> static std::true_type stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >::f(const Eigen::EigenBase<Derived>*) [with OtherDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from 'struct stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:21:7:   recursively required by substitution of 'template<class T> struct stan::plain_type<T, typename std::enable_if<stan::math::conjunction<stan::is_var<T, void>, stan::is_eigen<typename stan::value_type<T, void>::type> >::value, void>::type> [with T = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:21:7:   required by substitution of 'template<class T> using plain_type_t = typename stan::plain_type<T>::type [with T = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:168:9:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_sr.h:332:100:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:172:47:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_sr.h:332:100:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:157:35:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_sr.h:332:59:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from 'struct stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:20:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8:   required from 'struct stan::is_any_var_matrix<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7:   required by substitution of 'template<class ReturnType, class ... Types> using return_var_matrix_t = std::conditional_t<stan::is_any_var_matrix<ReturnType, Types ...>::value, stan::math::var_value<typename stan::math::promote_scalar_type<double, typename stan::plain_type<T>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename stan::plain_type<T>::type, void>::type> [with ReturnType = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Types = {Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:158:9:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_sr.h:332:59:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:160:47:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_sr.h:332:59:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:162:61:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_sr.h:332:59:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:34:44:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:338:52:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/disjunction.hpp:17:8:   required from 'struct stan::math::disjunction<stan::is_var_matrix<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >, stan::is_var_matrix<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, stan::is_var_matrix<Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8:   required from 'struct stan::is_any_var_matrix<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7:   required by substitution of 'template<class ReturnType, class ... Types> using return_var_matrix_t = std::conditional_t<stan::is_any_var_matrix<ReturnType, Types ...>::value, stan::math::var_value<typename stan::math::promote_scalar_type<double, typename stan::plain_type<T>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename stan::plain_type<T>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:11:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:338:52:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:24:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:338:52:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:66:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:338:52:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:338:52:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:54:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:338:52:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:38:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:338:52:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:54:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:338:52:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/disjunction.hpp:17:8:   required from 'struct stan::math::disjunction<stan::is_var_matrix<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0> >, stan::is_var_matrix<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, stan::is_var_matrix<Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8:   required from 'struct stan::is_any_var_matrix<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7:   required by substitution of 'template<class ReturnType, class ... Types> using return_var_matrix_t = std::conditional_t<stan::is_any_var_matrix<ReturnType, Types ...>::value, stan::math::var_value<typename stan::math::promote_scalar_type<double, typename stan::plain_type<T>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename stan::plain_type<T>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Types = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:55:11:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:338:52:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:53:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:338:52:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:37:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:338:52:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:58:75:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:56:21:   required from 'auto stan::math::value_of(EigMat&&) [with EigMat = arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_not_st_arithmetic<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:66:48:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:338:52:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/disjunction.hpp:17:8:   required from 'struct stan::math::disjunction<stan::is_var_matrix<const Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >, stan::is_var_matrix<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, stan::is_var_matrix<Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8:   required from 'struct stan::is_any_var_matrix<const Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7:   required by substitution of 'template<class ReturnType, class ... Types> using return_var_matrix_t = std::conditional_t<stan::is_any_var_matrix<ReturnType, Types ...>::value, stan::math::var_value<typename stan::math::promote_scalar_type<double, typename stan::plain_type<T>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename stan::plain_type<T>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:11:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:338:52:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:338:52:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:46:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:338:52:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:233:33:   required from 'auto stan::math::add(const Var&, const VarMat&) [with Var = var_value<double>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_var_vt<std::is_arithmetic, Var>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_sr.h:338:39:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:40:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:468:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:53:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:26:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::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<double, double, false, false>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:91:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:101:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:25:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_sr_namespace::model_sr>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/model_header.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp: In instantiation of 'T stan::io::reader<T>::scalar() [with T = double]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:151:40:   required from 'T stan::io::reader<T>::scalar_constrain() [with T = double]'
stanExports_sr.h:438:42:   required from 'void model_sr_namespace::model_sr::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1091:23:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:26:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:139:14: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >::Index' {aka 'long long int'} [-Wsign-compare]
  139 |     if (pos_ >= data_r_.size()) {
      |         ~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
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::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:229:14:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:35:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1847 |             PacketBlock<Packet> 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<double>::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::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::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<double, long long int, 0, 0, 1>; 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/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
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<typename unpacket_traits<SResPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::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<double, 16>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]'
D:/RCompile/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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -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/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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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/LDLT.h:346:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:23:   required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor<model_sr_namespace::model_sr>; Scalar = double; XType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:28:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_sr_namespace::model_sr>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:78:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_sr_namespace::model_sr>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_sr_namespace::model_sr>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_sr_namespace::model_sr>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_sr_namespace::model_sr>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_sr_namespace::model_sr>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20:   required from 'void stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:25:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_sr_namespace::model_sr>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp: In instantiation of 'T stan::io::reader<T>::scalar() [with T = stan::math::var_value<double>]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:164:56:   required from 'T stan::io::reader<T>::scalar_constrain(T&) [with T = stan::math::var_value<double>]'
stanExports_sr.h:293:43:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:139:14: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::Index' {aka 'long long int'} [-Wsign-compare]
  139 |     if (pos_ >= data_r_.size()) {
      |         ~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:58:75:   required from 'stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)> [with auto:23 = const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:65:31:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_sr.h:365:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_sr.h:365:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:87:62:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_sr.h:365:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:102:57:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_sr.h:365:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:104:39:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_sr.h:365:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:49:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_sr.h:365:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_sr.h:365:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/inv.hpp:55:55:   required from 'stan::math::inv<Eigen::Array<double, -1, 1> >(const Eigen::Array<double, -1, 1>&)::<lambda(const auto:7&)> [with auto:7 = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:84:68:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_sr.h:371:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:40:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_sr.h:371:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_sr.h:371:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Array<double, -1, 1> >(const Eigen::Array<double, -1, 1>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:95:20:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_sr.h:371:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_sr.h:371:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:45:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:266:7:   required from 'Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:365:25:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:24:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::Array<double, -1, 1>; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:22:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:74:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -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:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -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:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_sr.h:365:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/inv.hpp:55:55:   required from 'stan::math::inv<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(const auto:7&)> [with auto:7 = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_sr.h:371:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:40:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_sr.h:371:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_sr.h:371:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:104:39:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_sr.h:371:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:49:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_sr.h:371:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_sr.h:371:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_sr_namespace::model_sr>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:84:30:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_sr.h:367:49:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<int>::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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:85:33:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_sr.h:367:49:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<int>::type' {aka '__m128i'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/assert.hpp:35,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:19,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size_type.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/functions.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:38:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint<Model>::failed() [with Model = boost::algorithm::FinderConcept<boost::algorithm::detail::token_finderF<boost::algorithm::detail::is_any_ofF<char> >, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:81:13:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull]
   65 |     static void failed() { ((Model*)0)->constraints(); }
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~^~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:26,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string.hpp:23,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:12:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept<FinderT, IteratorT>::constraints() [with FinderT = boost::algorithm::detail::token_finderF<boost::algorithm::detail::is_any_ofF<char> >; IteratorT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   40 |             void constraints()
      |                  ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:86:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -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/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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_sr.h:367:49:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<int>::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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_sr.h:367:49:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<int>::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::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/advi.hpp:223:11:   required from 'double stan::variational::advi<Model, Q, BaseRNG>::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_sr_namespace::model_sr; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/advi.hpp:468:13:   required from 'int stan::variational::advi<Model, Q, BaseRNG>::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_sr_namespace::model_sr; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:15:   required from 'int stan::services::experimental::advi::meanfield(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:886:18:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:69:16:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_sr.h:365:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:69:16:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_sr.h:371:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:70:15:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_sr.h:371:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:71:17:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_sr.h:371:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::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/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:70:15:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_sr.h:371:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:71:17:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_sr.h:371:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:111:35:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, false, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  351 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  352 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  353 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 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/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  385 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> 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<double>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:74:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 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<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:78:24:   required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vt<std::is_arithmetic, T1, T2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]'
stanExports_sr.h:483:52:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:78:24:   required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vt<std::is_arithmetic, T1, T2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]'
stanExports_sr.h:483:52:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:78:24:   required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vt<std::is_arithmetic, T1, T2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]'
stanExports_sr.h:483:52:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_sr_namespace::model_sr>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:86:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_sr_namespace::model_sr>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_sr_namespace::model_sr>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:90:38:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_sr.h:365:48:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::Array<int, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<int, -1, 1> >; Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::Array<int, -1, 1>; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<int, -1, 1>; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::Array<int, -1, 1>; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:84:10:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_sr.h:367:49:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<int>::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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:86:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
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<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; 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<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:78:24:   required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vt<std::is_arithmetic, T1, T2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]'
stanExports_sr.h:483:52:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> 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<double>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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/util/BlasUtil.h:263:43:   required from 'Index Eigen::internal::blas_data_mapper<Scalar, Index, StorageOrder, AlignmentType, 1>::firstAligned(Index) const [with Scalar = const double; Index = long long int; int StorageOrder = 0; int AlignmentType = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:40:   required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  470 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 8 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<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:118:14:   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<double>::type' {aka '__m128d'} [-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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:503:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]'
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/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   60 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   61 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:165:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:256:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:166:55:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:128:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:259:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:259:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::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<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; int ProductTag = 8; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Matrix<double, -1, -1, 1>, 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1, 1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1, 1>; 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_sr_namespace::model_sr>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5:   required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:31:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5:   required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   required from 'bool boost::range::equal(const SinglePassRange1&, const SinglePassRange2&) [with SinglePassRange1 = boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; SinglePassRange2 = boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:644:32:   required from 'bool boost::operator==(const iterator_range<IteratorT>&, const iterator_range<Iterator2T>&) [with Iterator1T = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >; Iterator2T = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_iterator.hpp:359:32:   required from 'bool boost::algorithm::split_iterator<IteratorT>::equal(const boost::algorithm::split_iterator<IteratorT>&) const [with IteratorT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:649:26:   required from 'static bool boost::iterators::iterator_core_access::equal(const Facade1&, const Facade2&, mpl_::true_) [with Facade1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; Facade2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; mpl_::true_ = mpl_::bool_<true>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:981:3:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, typename boost::mpl::apply2<boost::iterators::detail::always_bool2, Derived1, Derived2>::type>::type boost::iterators::operator==(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; V1 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; TC1 = forward_traversal_tag; Reference1 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >&; Difference1 = long long int; Derived2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; V2 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; TC2 = forward_traversal_tag; Reference2 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >&; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, typename boost::mpl::apply2<detail::always_bool2, Derived1, Derived2>::type>::type = bool; typename boost::mpl::apply2<detail::always_bool2, Derived1, Derived2>::type = bool]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_adaptor.hpp:305:29:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-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::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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<double, 8>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 12 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 13 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -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/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 12 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_sr_namespace::model_sr>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:358:52:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:338:52:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:358:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:338:52:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5:   required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::CopyConstructible<TT>::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  167 |     BOOST_CONCEPT_USAGE(CopyConstructible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::IncrementableIteratorConcept<Iterator>::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  136 |             BOOST_CONCEPT_USAGE(IncrementableIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5:   required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::EqualityComparable<TT>::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  233 |     BOOST_CONCEPT_USAGE(EqualityComparable) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<double, 4, 4, 1, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 15 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 14 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, 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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_sr_namespace::model_sr>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:713:64:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_sr_namespace::model_sr>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1, 1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1, 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<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 9 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 14 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<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:118:14:   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<double>::type' {aka '__m128d'} [-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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29:   [ skipping 14 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_sr_namespace::model_sr>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:26:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
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/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 15 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 13 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
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:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::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<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; 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<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_sr_namespace::model_sr, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_sr_namespace::model_sr; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_sr_namespace::model_sr]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
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:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_sr.h:338:52:   required from 'T__ model_sr_namespace::model_sr::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_sr_namespace::model_sr; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_sr_namespace::model_sr; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_sr.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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 20 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 22 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 31 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 29 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 28 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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 33 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -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<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 27 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_sr_namespace::model_sr; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_sr_namespace::model_sr; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_sr_namespace::model_sr; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_sr_namespace::model_sr; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_sr_namespace::model_sr; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_sr_namespace::model_sr; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {aka '__m128d'} [-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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 14 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_sr_namespace::model_sr; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 17 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_sr_namespace::model_sr; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_sr_namespace::model_sr; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: warning: 'result' may be used uninitialized [-Wmaybe-uninitialized]
  225 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  226 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  227 |       (
      |       ^
  228 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  230 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |       );
      |       ~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:39:24: note: by argument 4 of type 'const double*' to 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' declared here
   39 | EIGEN_DONT_INLINE void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Version>::run(
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Warning in .make_numeric_version(x, strict, .standard_regexps()$valid_numeric_version) :
  invalid non-character version specification 'x' (type: double)
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1  -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"  -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -D_HAS_AUTO_PTR_ETC=0     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c stanExports_srs.cc -o stanExports_srs.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\stanheaders\include\stan\math\prim\fun\eigen.hpp:22,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:1,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_srs.h:20,
                 from stanExports_srs.cc:5:
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<Packet4f> { 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<Packet2d> { 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<Packet4i> { 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<Offset,Packet4f>
      |                                   ^
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<Offset,Packet4i>
      |                                   ^
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<Offset,Packet2d>
      |                                   ^
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<Packet4f,4>& 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<Packet2d,2>& 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<Packet4i,4>& 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<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
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<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
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<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
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<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
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<float, 4>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
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<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<float>::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<float>::type' {aka '__m128'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::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<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
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<float>::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<double, 4>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/shared_ptr.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/time_clock.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:4:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  361 |     explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
      |                                 ^~~~~~~~
In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\memory:76,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:7:
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:250:65: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  250 | template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R >
      |                                                                 ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:507:31: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  507 |     explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
      |                               ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:520:22: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  520 |     shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
      |                      ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:603:34: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  603 |     shared_ptr & operator=( std::auto_ptr<Y> & r )
      |                                  ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:612:34: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  612 |     shared_ptr & operator=( std::auto_ptr<Y> && r )
      |                                  ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr<T>& boost::shared_ptr<T>::operator=(std::auto_ptr<_Up>&&)':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:614:38: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  614 |         this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
      |                                      ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
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/rstan/include/rstan/stan_args.hpp:12,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:20:
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<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<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_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                     -
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
      |     -
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\stanheaders\include\stan\math\prim\fun\eigen.hpp:23:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
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<double>::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<int, -1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<int>::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<int>::type' {aka '__m128i'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
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<int>::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::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
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<int>::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::Matrix<int, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
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<int>::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<double, -1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/typedefs.hpp:12:72:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/typedefs.hpp:12:72:   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<double>::type' {aka '__m128d'} [-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<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:281:19:   required from 'class Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:36:26:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:36:34:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun.hpp:110,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/test_gradients.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:8,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:35:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/generalized_inverse.hpp: In function 'Eigen::Matrix<typename stan::value_type<T>::type, EigMat::ColsAtCompileTime, EigMat::RowsAtCompileTime> stan::math::generalized_inverse(const EigMat&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/generalized_inverse.hpp:34:9: warning: typedef 'using value_t = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   34 |   using value_t = value_type_t<EigMat>;
      |         ^~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/identity_matrix.hpp:19:35:   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<double>::type' {aka '__m128d'} [-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::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49:   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<double>::type' {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::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, __vector(2) long long int>, Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_int_array.hpp:41:49:   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<int>::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::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28:   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<double>::type' {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::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53:   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<double>::type' {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::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72:   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<double>::type' {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::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:33:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:25:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:25:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:35:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:115:33:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun.hpp:319:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tail.hpp: In function 'std::vector<T> stan::math::tail(const std::vector<T>&, size_t)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tail.hpp:46:9: warning: typedef 'using idx_t = stan::math::index_type_t<std::vector<T> >' locally defined but not used [-Wunused-local-typedefs]
   46 |   using idx_t = index_type_t<std::vector<T>>;
      |         ^~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19:   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<double>::type' {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<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30:   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<double>::type' {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<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/traits.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:27,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/vector.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint.hpp:25,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp: At global scope:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  111 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_algobase.h:65,
                 from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\specfun.h:45,
                 from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\cmath:1935,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/platform/compiler.h:100,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/r/headers.h:62,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/RcppCommon.h:30,
                 from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:27,
                 from stanExports_srs.cc:3:
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  149 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: 'template<class _Category, class _Tp, class _Distance, class _Pointer, class _Reference> struct std::iterator' is deprecated [-Wdeprecated-declarations]
  204 |         public std::iterator<IC, T> {
      |                     ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here
  127 |     struct _GLIBCXX17_DEPRECATED iterator
      |                                  ^~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/invoke.hpp:52,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/adapter/fused.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/generation/make_fused.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/include/make_fused.hpp:11,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:28,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/get_pointer.hpp:48:40: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
   48 | template<class T> T * get_pointer(std::auto_ptr<T> const& p)
      |                                        ^~~~~~~~
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.2.0\include\c++\bits\unique_ptr.h:64:28: note: declared here
   64 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:54:9:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:103:16:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:112:28:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:117:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:32:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp: In lambda function:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:83:11: warning: typedef 'using Block_ = class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>' locally defined but not used [-Wunused-local-typedefs]
   83 |     using Block_ = Eigen::Block<Eigen::MatrixXd>;
      |           ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:61:39:   required from 'class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:143:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Map<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:145:6:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:643:29:   required from 'class stan::math::vari_value<Eigen::Matrix<double, -1, 1>, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:408:48:   required from 'const auto& stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::val() const [with T = Eigen::Matrix<double, -1, 1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_corr_constrain.hpp:44:33:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:43:17:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:34:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp: In function 'stan::math::var_value<Eigen::Matrix<double, -1, -1> > stan::math::cholesky_factor_constrain(const T&, int, int)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:32:9: warning: typedef 'using T_scalar = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   32 |   using T_scalar = value_type_t<T>;
      |         ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:50:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:46:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:23:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:36:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:62:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:40:71:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/divide.hpp:73:41:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, -1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:45:15:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:42:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>::<lambda(auto:20)>, const Eigen::Matrix<stan::math::var_value<double>, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:110:66:   required from 'stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)> [with auto:19 = const Eigen::Matrix<stan::math::var_value<double>, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of_rec<const Eigen::Matrix<var_value<double>, -1, -1>&>(const Eigen::Matrix<var_value<double>, -1, -1>&)::<lambda(auto:19&)>; Args = {const Eigen::Matrix<stan::math::var_value<double, void>, -1, -1, 0, -1, -1>&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:108:21:   required from 'auto stan::math::value_of_rec(T&&) [with T = const Eigen::Matrix<var_value<double>, -1, -1>&; <template-parameter-1-2> = void; <template-parameter-1-3> = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:83:31:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:56:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:61:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun.hpp:71:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/generalized_inverse.hpp: In function 'auto stan::math::generalized_inverse(const VarMat&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/generalized_inverse.hpp:64:9: warning: typedef 'using value_t = stan::value_type_t<T>' locally defined but not used [-Wunused-local-typedefs]
   64 |   using value_t = value_type_t<VarMat>;
      |         ^~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::adj_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:12:   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<double>::type' {aka '__m128d'} [-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::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&)::<lambda(const auto:32&)>; T2 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:54:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:56:   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<double>::type' {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<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:45:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:46:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:11:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:12:   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<double>::type' {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<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 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<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -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<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -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::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::Array<double, -1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -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::Array<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:37:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:33:   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<double>::type' {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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:40:   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<double>::type' {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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -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<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:58:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:58:74:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_U.hpp:59:22:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:59:30:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > > >'
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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:59:30:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:230:47:   required from 'struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:41:59:   required from 'struct Eigen::EigenBase<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7:   required from 'class Eigen::DiagonalBase<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:245:7:   required from 'class Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:53:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:41:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:15:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:72:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::vari_value<double>*, -1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:73:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:36:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:61:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:58:75:   required from 'stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)> [with auto:23 = const Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:23&)>; Args = {const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:56:21:   required from 'auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_not_st_arithmetic<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:96:37:   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<double>::type' {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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/functor/idas_forward_system.hpp:148:16:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:13:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:59:9: warning: typedef 'using T_y_val = std::conditional_t<stan::is_vector<T2>::value, Eigen::Matrix<typename stan::partials_return_type<T_y>::type, -1, 1>, typename stan::partials_return_type<T_y>::type>' locally defined but not used [-Wunused-local-typedefs]
   59 |   using T_y_val =
      |         ^~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:31:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:50:9: warning: typedef 'using T_partials_matrix = class Eigen::Matrix<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   50 |   using T_partials_matrix = Eigen::Matrix<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:37:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::beta_proportion_lpdf(const T_y&, const T_loc&, const T_prec&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/beta_proportion_lpdf.hpp:55:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   55 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/categorical_logit_glm_lpmf.hpp:143:15:   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<double>::type' {aka '__m128d'} [-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::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Ref.h:235:77:   required from 'class Eigen::Ref<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/cumulative_sum.hpp:56:49:   required from 'auto stan::math::cumulative_sum(const EigVec&) [with EigVec = Eigen::Matrix<double, -1, 1>; stan::require_eigen_vector_t<C>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/categorical_logit_rng.hpp:37:41:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:63:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::cauchy_lpdf(const T_y&, const T_loc&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/cauchy_lpdf.hpp:45:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   45 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:74:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp: In function 'stan::return_type_t<T1, T2> stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_lpdf.hpp:60:9: warning: typedef 'using T_partials_vec = struct Eigen::Matrix<typename stan::partials_return_type<T_n, T_prob>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   60 |   using T_partials_vec = typename Eigen::Matrix<T_partials_return, -1, 1>;
      |         ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:42:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:42:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:26:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:91:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_lpdf.hpp: In function 'stan::return_type_t<T_a, T_b, T_theta> stan::math::double_exponential_lpdf(const T_y&, const T_loc&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/double_exponential_lpdf.hpp:44:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   44 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:111:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/frechet_cdf.hpp: In function 'stan::return_type_t<T_x, T_sigma, T_l> stan::math::frechet_cdf(const T_y&, const T_shape&, const T_scale&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/frechet_cdf.hpp:30:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_y, T_scale_succ, T_scale_fail>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   30 |   using T_partials_array = Eigen::Array<T_partials_return, Eigen::Dynamic, 1>;
      |         ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 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::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 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::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 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::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41:   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<double>::type' {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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 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<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51:   recursively required by substitution of 'template<int Side, class Other> const Eigen::internal::triangular_solve_retval<Side, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Other> Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase<U>&) const [with int Side = <missing>; Other = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32:   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<double>::type' {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<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43:   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<double>::type' {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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 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::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 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::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 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<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 6>, Eigen::Matrix<double, -1, -1> > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52:   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<double>::type' {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<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::Map<const Eigen::Array<int, -1, 1>, 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<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:46:43:   required from 'stan::math::as_array_or_scalar<const std::vector<int>&>(const std::vector<int>&)::<lambda(auto:6&)> [with auto:6 = const std::vector<int>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   required by substitution of 'template<class F, class ... Args, stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar<const std::vector<int>&>(const std::vector<int>&)::<lambda(auto:6&)>; Args = {const std::vector<int, std::allocator<int> >&}; stan::require_eigen_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:46:21:   required from 'auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector<int>&; stan::require_std_vector_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:36:45:   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<int>::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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:55:   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<int>::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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 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<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50:   required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Map<const Eigen::Array<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:28:   recursively required by substitution of 'template<class ThenDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select(const Eigen::DenseBase<Derived>&, const typename ThenDerived::Scalar&) const [with ThenDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:28:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:52:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:60:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:130:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:132:67:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 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<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:138:17:   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<int>::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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:16:   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<int>::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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:71:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::log1m_exp_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::log1m_exp_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log1m_exp.hpp:83:53:   required from 'auto stan::math::log1m_exp(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:59:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:142:79:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:143:34:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:143:34:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:140:58:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:140:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:23:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:139:23:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > > > > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.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<double>::type' {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<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:78:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   recursively required by substitution of 'template<class ElseDerived> const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase<Derived>&) const [with ElseDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:164:28:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Select.h:52:7:   required from 'class Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:165:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:167:33:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_glm_lpmf.hpp:169:50:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:245:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_lpmf.hpp: In function 'stan::return_type_t<T_shared_param, T_job_param> stan::math::ordered_logistic_lpmf(const T_y&, const T_loc&, const T_cut&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/ordered_logistic_lpmf.hpp:76:9: warning: typedef 'using T_partials_array = class Eigen::Array<typename stan::partials_return_type<T_loc, T_cut>::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs]
   76 |   using T_partials_array = Eigen::Array<T_partials_return, -1, 1>;
      |         ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob.hpp:277:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp: In function 'stan::return_type_t<T_x, T_alpha, T_beta> stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp:62:9: warning: typedef 'using T_alpha_val = std::conditional_t<stan::is_vector<T_prob>::value, Eigen::Array<typename stan::partials_return_type<T_cut>::type, -1, 1>, typename stan::partials_return_type<T_cut>::type>' locally defined but not used [-Wunused-local-typedefs]
   62 |   using T_alpha_val = typename std::conditional_t<
      |         ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:26:22:   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<double>::type' {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::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::type' {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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::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<double, 1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:124:17:   required from 'auto stan::math::to_matrix(const std::vector<T>&, int, int) [with T = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:39:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   recursively required by substitution of 'template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >::dot(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:62:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:66:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:60:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:18:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:55:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:36:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing.hpp:8,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/model_header.hpp:15,
                 from stanExports_srs.h:22:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/lvalue_varmat.hpp: In function 'void stan::model::assign(Mat1&&, const cons_index_list<index_multi, cons_index_list<index_multi, nil_index_list> >&, const Mat2&, const char*, int)':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/lvalue_varmat.hpp:349:9: warning: typedef 'using pair_type = struct std::pair<int, std::vector<int, stan::math::arena_allocator<int> > >' locally defined but not used [-Wunused-local-typedefs]
  349 |   using pair_type = std::pair<int, arena_vec>;
      |         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
stanExports_srs.h: In member function 'virtual void model_srs_namespace::model_srs::transform_inits(const stan::io::var_context&, std::vector<int>&, std::vector<double>&, std::ostream*) const':
stanExports_srs.h:207:24: warning: typedef 'local_scalar_t__' locally defined but not used [-Wunused-local-typedefs]
  207 |         typedef double local_scalar_t__;
      |                        ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_srs.h:394:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:32&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_srs.h:394:75:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:30:13:   required from 'auto stan::math::multiply(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_srs.h:583:109:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::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::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Matrix<int, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:30:13:   required from 'auto stan::math::multiply(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_srs.h:583:109:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/subtract.hpp:94:21:   required from 'auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; <template-parameter-1-3> = void; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_srs.h:583:100:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/subtract.hpp:94:32:   required from 'auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix<double, -1, 1>; Scal = int; <template-parameter-1-3> = void; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Scal, Mat>* <anonymous> = 0]'
stanExports_srs.h:583:100:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/add.hpp:48:14:   required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, 1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
stanExports_srs.h:583:59:   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<double>::type' {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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:50:23:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:34&)>; T2 = Eigen::Matrix<double, -1, 1>; stan::require_t<stan::is_eigen_matrix_base<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/exp.hpp:62:46:   required from 'auto stan::math::exp(const Container&) [with Container = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
stanExports_srs.h:583:55:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/add.hpp:88:13:   required from 'auto stan::math::add(Scal, const Mat&) [with Scal = double; Mat = Eigen::Matrix<double, -1, 1>; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<S>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
stanExports_srs.h:591:43:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/add.hpp:88:32:   required from 'auto stan::math::add(Scal, const Mat&) [with Scal = double; Mat = Eigen::Matrix<double, -1, 1>; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<S>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
stanExports_srs.h:591:43:   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<double>::type' {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<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>::scalar_t)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:74:19:   required from 'static auto stan::math::apply_scalar_unary<F, T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp2>::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:89:38:   required from 'struct stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50:   required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double, __vector(2) double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:52:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long unsigned int]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:96:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:73:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<long long unsigned int> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   73 |     for (int i = 0; i < dims.size(); i++) {
      |                     ~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long int]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:117:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:73:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<long long unsigned int> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]':
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1238:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1238 |     int ret = stan::services::error_codes::CONFIG;
      |         ^~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:34:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_2F1_converges.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err.hpp:4,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/profiling.hpp:9,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core.hpp:54,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:29:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:22:31:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, -1, 1> >(const char*, const char*, const Eigen::Matrix<double, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:47:30:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Matrix<double, -1, -1> >(const char*, const char*, const Eigen::Matrix<double, -1, -1>&)::<lambda(double)>; T = Eigen::Matrix<double, -1, -1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:74:30:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, -1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:89:22: warning: comparison of integer expressions of different signedness: 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare]
   89 |   if (p_names.size() != draws.cols()) {
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:107:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare]
  107 |   for (size_t i = 0; i < draws.rows(); ++i) {
      |                      ~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:111:65:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:19:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_cholesky_factor.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err.hpp:7:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp: In instantiation of 'static void stan::math::internal::less_or_equal<T_y, T_high, is_vec>::check(const char*, const char*, const T_y&, const T_high&) [with T_y = long long unsigned int; T_high = long long int; bool is_vec = false]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:74:74:   required from 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&) [with T_y = long long unsigned int; T_high = long long int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:78:36:   required from 'std::vector<long long unsigned int> stan::io::array_var_context::validate_dims(const std::vector<std::__cxx11::basic_string<char> >&, T, const std::vector<std::vector<long long unsigned int> >&) [with T = long long int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/array_var_context.hpp:117:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:23:15: warning: comparison of integer expressions of different signedness: 'const long long unsigned int' and 'long long int' [-Wsign-compare]
   23 |       if (!(y <= high_vec[n])) {
      |            ~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:56:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:394:109:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {aka '__m128d'} [-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::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:64:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:394:109:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:394:109:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:150:39:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:394:109:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:26:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:394:109:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:40:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:394:109:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:58:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:394:109:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:394:109:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:172:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:194:18:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = int; stan::require_matrix_t<EigMat>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:394:109:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:13:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_srs.h:394:100:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:21:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_srs.h:394:100:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:169:24:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_srs.h:394:100:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, 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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   recursively required by substitution of 'template<class OtherDerived> static std::true_type stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >::f(const Eigen::EigenBase<Derived>*) [with OtherDerived = <missing>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from 'struct stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:21:7:   recursively required by substitution of 'template<class T> struct stan::plain_type<T, typename std::enable_if<stan::math::conjunction<stan::is_var<T, void>, stan::is_eigen<typename stan::value_type<T, void>::type> >::value, void>::type> [with T = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:21:7:   required by substitution of 'template<class T> using plain_type_t = typename stan::plain_type<T>::type [with T = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:168:9:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_srs.h:394:100:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:172:47:   required from 'auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_srs.h:394:100:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:157:35:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_srs.h:394:59:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from 'struct stan::is_base_pointer_convertible<Eigen::EigenBase, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:20:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8:   required from 'struct stan::is_any_var_matrix<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1, 0, -1, 1> > > >, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7:   required by substitution of 'template<class ReturnType, class ... Types> using return_var_matrix_t = std::conditional_t<stan::is_any_var_matrix<ReturnType, Types ...>::value, stan::math::var_value<typename stan::math::promote_scalar_type<double, typename stan::plain_type<T>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename stan::plain_type<T>::type, void>::type> [with ReturnType = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Types = {Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:158:9:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_srs.h:394:59:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:160:47:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_srs.h:394:59:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:162:61:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:179:13:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Matrix<double, -1, 1>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<Arith>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_srs.h:394:59:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:34:44:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:402:56:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/disjunction.hpp:17:8:   required from 'struct stan::math::disjunction<stan::is_var_matrix<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >, stan::is_var_matrix<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, stan::is_var_matrix<Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8:   required from 'struct stan::is_any_var_matrix<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7:   required by substitution of 'template<class ReturnType, class ... Types> using return_var_matrix_t = std::conditional_t<stan::is_any_var_matrix<ReturnType, Types ...>::value, stan::math::var_value<typename stan::math::promote_scalar_type<double, typename stan::plain_type<T>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename stan::plain_type<T>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:11:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:402:56:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:24:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:402:56:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:66:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:402:56:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:402:56:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:54:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:402:56:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:38:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:402:56:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:54:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:402:56:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/disjunction.hpp:17:8:   required from 'struct stan::math::disjunction<stan::is_var_matrix<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0> >, stan::is_var_matrix<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, stan::is_var_matrix<Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8:   required from 'struct stan::is_any_var_matrix<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7:   required by substitution of 'template<class ReturnType, class ... Types> using return_var_matrix_t = std::conditional_t<stan::is_any_var_matrix<ReturnType, Types ...>::value, stan::math::var_value<typename stan::math::promote_scalar_type<double, typename stan::plain_type<T>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename stan::plain_type<T>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Types = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:55:11:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:402:56:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:53:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:402:56:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:37:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:402:56:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:58:75:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:56:21:   required from 'auto stan::math::value_of(EigMat&&) [with EigMat = arena_matrix<Eigen::Matrix<var_value<double>, -1, -1> >&; stan::require_eigen_t<T_desired>* <anonymous> = 0; stan::require_not_st_arithmetic<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:66:48:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:402:56:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/disjunction.hpp:17:8:   required from 'struct stan::math::disjunction<stan::is_var_matrix<const Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >, stan::is_var_matrix<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, stan::is_var_matrix<Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8:   required from 'struct stan::is_any_var_matrix<const Eigen::Product<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7:   required by substitution of 'template<class ReturnType, class ... Types> using return_var_matrix_t = std::conditional_t<stan::is_any_var_matrix<ReturnType, Types ...>::value, stan::math::var_value<typename stan::math::promote_scalar_type<double, typename stan::plain_type<T>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename stan::plain_type<T>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:11:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:402:56:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:43:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:402:56:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:46:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:402:56:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:233:33:   required from 'auto stan::math::add(const Var&, const VarMat&) [with Var = var_value<double>; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_var_vt<std::is_arithmetic, Var>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
stanExports_srs.h:402:43:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/disjunction.hpp:17:8:   required from 'struct stan::math::disjunction<stan::is_var_matrix<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > > >, stan::is_var_matrix<Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >, stan::is_var_matrix<Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8:   required from 'struct stan::is_any_var_matrix<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> > >, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7:   required by substitution of 'template<class ReturnType, class ... Types> using return_var_matrix_t = std::conditional_t<stan::is_any_var_matrix<ReturnType, Types ...>::value, stan::math::var_value<typename stan::math::promote_scalar_type<double, typename stan::plain_type<T>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename stan::plain_type<T>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >; Types = {Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:124:9:   required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix<var_value<double>, -1, 1>; VarMat2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]'
stanExports_srs.h:402:39:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:127:39:   required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix<var_value<double>, -1, 1>; VarMat2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_rev_matrix_t<VarMat1, VarMat2>* <anonymous> = 0]'
stanExports_srs.h:402:39:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:40:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:468:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:53:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:90:26:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)> [with auto:90 = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:103:13:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<stan::is_eigen<typename std::decay<_Tp>::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:90&)>; T = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:81:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   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<double>::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<double, double, false, false>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:91:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:101:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:25:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_srs_namespace::model_srs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/model_header.hpp:8:
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp: In instantiation of 'T stan::io::reader<T>::scalar() [with T = double]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:622:37:   required from 'T stan::io::reader<T>::scalar_lb_constrain(TL) [with TL = int; T = double]'
stanExports_srs.h:532:48:   required from 'void model_srs_namespace::model_srs::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1091:23:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:26:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:139:14: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >::Index' {aka 'long long int'} [-Wsign-compare]
  139 |     if (pos_ >= data_r_.size()) {
      |         ~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
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::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:229:14:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:35:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1847 |             PacketBlock<Packet> 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<double>::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::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::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<double, long long int, 0, 0, 1>; 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/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
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<typename unpacket_traits<SResPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::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<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::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<double, 16>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]'
D:/RCompile/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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -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/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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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/LDLT.h:346:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:23:   required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor<model_srs_namespace::model_srs>; Scalar = double; XType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:28:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_srs_namespace::model_srs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:78:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_srs_namespace::model_srs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_srs_namespace::model_srs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_srs_namespace::model_srs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_srs_namespace::model_srs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_srs_namespace::model_srs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20:   required from 'void stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:25:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_srs_namespace::model_srs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp: In instantiation of 'T stan::io::reader<T>::scalar() [with T = stan::math::var_value<double>]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:638:37:   required from 'T stan::io::reader<T>::scalar_lb_constrain(TL, T&) [with TL = int; T = stan::math::var_value<double>]'
stanExports_srs.h:336:49:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/io/reader.hpp:139:14: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Map<const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::Index' {aka 'long long int'} [-Wsign-compare]
  139 |     if (pos_ >= data_r_.size()) {
      |         ~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)>::<lambda(const auto:24&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/value_of.hpp:58:75:   required from 'stan::math::value_of<const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:23&)> [with auto:23 = const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/meta/holder.hpp:364:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:65:31:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_srs.h:438:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_srs.h:438:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:87:62:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_srs.h:438:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:102:57:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_srs.h:438:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:104:39:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_srs.h:438:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:49:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_srs.h:438:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_srs.h:438:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/inv.hpp:55:55:   required from 'stan::math::inv<Eigen::Array<double, -1, 1> >(const Eigen::Array<double, -1, 1>&)::<lambda(const auto:7&)> [with auto:7 = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:84:68:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_srs.h:454:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:40:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_srs.h:454:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_srs.h:454:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51:   required from 'stan::math::log<Eigen::Array<double, -1, 1> >(const Eigen::Array<double, -1, 1>&)::<lambda(const auto:32&)> [with auto:32 = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:95:20:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_srs.h:454:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_srs.h:454:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:45:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:266:7:   required from 'Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:365:25:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:24:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::Array<double, -1, 1>; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:22:   required from 'stan::return_type_t<T> stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t<Arith>* <anonymous> = 0; stan::return_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:74:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -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:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -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:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, int>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_srs.h:438:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/inv.hpp:55:55:   required from 'stan::math::inv<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(const auto:7&)> [with auto:7 = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:60:13:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_srs.h:454:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:40:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_srs.h:454:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:85:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_srs.h:454:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:104:39:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_srs.h:454:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:49:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_srs.h:454:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:107:63:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_srs.h:454:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_srs_namespace::model_srs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:84:30:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_srs.h:442:49:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<int>::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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:85:33:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_srs.h:442:49:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<int>::type' {aka '__m128i'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/assert.hpp:35,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:19,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size_type.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/functions.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:38:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint<Model>::failed() [with Model = boost::algorithm::FinderConcept<boost::algorithm::detail::token_finderF<boost::algorithm::detail::is_any_ofF<char> >, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:81:13:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull]
   65 |     static void failed() { ((Model*)0)->constraints(); }
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~^~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:26,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string.hpp:23,
                 from D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:12:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept<FinderT, IteratorT>::constraints() [with FinderT = boost::algorithm::detail::token_finderF<boost::algorithm::detail::is_any_ofF<char> >; IteratorT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   40 |             void constraints()
      |                  ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:86:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1, 1>; int UpLo = 2; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -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/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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_srs.h:442:49:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<int>::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::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_srs.h:442:49:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<int>::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::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/advi.hpp:223:11:   required from 'double stan::variational::advi<Model, Q, BaseRNG>::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_srs_namespace::model_srs; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/variational/advi.hpp:468:13:   required from 'int stan::variational::advi<Model, Q, BaseRNG>::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_srs_namespace::model_srs; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:15:   required from 'int stan::services::experimental::advi::meanfield(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:886:18:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:69:16:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_srs.h:438:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20:   required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:69:16:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_srs.h:454:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:70:15:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_srs.h:454:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::Array<double, -1, 1> >(const char*, const char*, const Eigen::Array<double, -1, 1>&)::<lambda(double)>; T = Eigen::Array<double, -1, 1>; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:71:17:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Matrix<var_value<double>, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_srs.h:454:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::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/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:70:15:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_srs.h:454:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
  158 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Indexings = {}; stan::require_eigen_t<S>* <anonymous> = 0; std::enable_if_t<static_cast<bool>((Eigen::internal::traits<_Rhs>::Flags & (Eigen::LinearAccessBit | Eigen::DirectAccessBit)))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20:   required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:71:17:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_loc = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Matrix<double, -1, 1>; stan::return_type_t<T_a, T_b, T_theta> = double]'
stanExports_srs.h:454:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/newton.hpp:55:47:   required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:488:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:158:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:111:35:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, false, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  351 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  352 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  353 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 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/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  385 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> 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<double>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:74:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67:   required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix<double, -1, -1>; stan::require_eigen_matrix_dynamic_t<EigMat>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35:   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<double>::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<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 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<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:78:24:   required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vt<std::is_arithmetic, T1, T2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]'
stanExports_srs.h:591:56:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:78:24:   required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vt<std::is_arithmetic, T1, T2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]'
stanExports_srs.h:591:56:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:78:24:   required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vt<std::is_arithmetic, T1, T2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]'
stanExports_srs.h:591:56:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_srs_namespace::model_srs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:86:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_srs_namespace::model_srs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<Scalar1, Scalar2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix<double, -1, -1>; Xpr2 = const Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_srs_namespace::model_srs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:90:38:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/normal_log.hpp:35:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::normal_log(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_loc = int; T_scale = double; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_srs.h:438:48:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::Array<int, -1, 1>; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<int, -1, 1> >; Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::Array<int, -1, 1>; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<int, -1, 1>; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15:   required from 'stan::value_type_t<T> stan::math::sum(const T&) [with T = Eigen::Array<int, -1, 1>; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; stan::value_type_t<T> = int]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_lpdf.hpp:84:10:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_lpdf(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y, T_scale_succ, T_scale_fail>* <anonymous> = 0; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/uniform_log.hpp:37:50:   required from 'stan::return_type_t<T_a, T_b, T_theta> stan::math::uniform_log(const T_y&, const T_low&, const T_high&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; T_low = int; T_high = int; stan::return_type_t<T_a, T_b, T_theta> = var_value<double>]'
stanExports_srs.h:442:49:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<int>::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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:86:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
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<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; 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<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
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<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/DenseBase.h:406:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; EvalReturnType = const Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/multiply.hpp:78:24:   required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix<double, -1, -1>; Mat2 = Eigen::Matrix<double, -1, 1>; stan::require_all_eigen_vt<std::is_arithmetic, T1, T2>* <anonymous> = 0; stan::require_not_eigen_row_and_col_t<Mat1, Mat2>* <anonymous> = 0]'
stanExports_srs.h:591:56:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> 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<double>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32:   required from 'static Eigen::internal::redux_impl<Func, Derived, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 0, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:35:44:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -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 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:373:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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/util/BlasUtil.h:263:43:   required from 'Index Eigen::internal::blas_data_mapper<Scalar, Index, StorageOrder, AlignmentType, 1>::firstAligned(Index) const [with Scalar = const double; Index = long long int; int StorageOrder = 0; int AlignmentType = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:40:   required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 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<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/newton.hpp:22:58:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  470 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 8 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<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:118:14:   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<double>::type' {aka '__m128d'} [-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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:503:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]'
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/Eigenvalues/Tridiagonalization.h:367:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   60 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   61 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:165:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:256:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:166:55:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:128:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:259:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:259:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   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<double>::type' {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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::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<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; int ProductTag = 8; 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<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; 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<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Matrix<double, -1, -1, 1>, 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >'
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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1, 1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1, 1>; 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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:69:58:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_srs_namespace::model_srs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, 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<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5:   required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:31:
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5:   required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   required from 'struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >)>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13:   required from 'bool boost::range::equal(const SinglePassRange1&, const SinglePassRange2&) [with SinglePassRange1 = boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; SinglePassRange2 = boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:644:32:   required from 'bool boost::operator==(const iterator_range<IteratorT>&, const iterator_range<Iterator2T>&) [with Iterator1T = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >; Iterator2T = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_iterator.hpp:359:32:   required from 'bool boost::algorithm::split_iterator<IteratorT>::equal(const boost::algorithm::split_iterator<IteratorT>&) const [with IteratorT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:649:26:   required from 'static bool boost::iterators::iterator_core_access::equal(const Facade1&, const Facade2&, mpl_::true_) [with Facade1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; Facade2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; mpl_::true_ = mpl_::bool_<true>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:981:3:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, typename boost::mpl::apply2<boost::iterators::detail::always_bool2, Derived1, Derived2>::type>::type boost::iterators::operator==(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; V1 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; TC1 = forward_traversal_tag; Reference1 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >&; Difference1 = long long int; Derived2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; V2 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >; TC2 = forward_traversal_tag; Reference2 = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >&; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, typename boost::mpl::apply2<detail::always_bool2, Derived1, Derived2>::type>::type = bool; typename boost::mpl::apply2<detail::always_bool2, Derived1, Derived2>::type = bool]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_adaptor.hpp:305:29:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-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::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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<double, 8>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::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<double>::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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 12 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 13 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Matrix<double, -1, -1>, -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/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113:   [ skipping 12 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::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/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_srs_namespace::model_srs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 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<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:358:52:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:402:56:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:358:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:402:56:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5:   required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::CopyConstructible<TT>::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  167 |     BOOST_CONCEPT_USAGE(CopyConstructible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::IncrementableIteratorConcept<Iterator>::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  136 |             BOOST_CONCEPT_USAGE(IncrementableIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5:   required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::EqualityComparable<TT>::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  233 |     BOOST_CONCEPT_USAGE(EqualityComparable) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]':
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47:   required from 'static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of 'template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from 'const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >::value'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from 'struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > > >'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31:   required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; FinderT = detail::token_finderF<detail::is_any_ofF<char> >]'
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50:   required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector<std::__cxx11::basic_string<char> >; RangeT = std::__cxx11::basic_string<char>&; PredicateT = detail::is_any_ofF<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:39:28:   required from 'void stan::services::get_model_parameters(const Model&, std::vector<std::__cxx11::basic_string<char> >&, std::vector<std::vector<long long unsigned int> >&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:103:23:   required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1239:46:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:30:89:   required from here
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >]'
   37 |       ~model()
      |       ^
D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:89:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:144:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<double, 4, 4, 1, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 15 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-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::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 14 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {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<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, 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/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_srs_namespace::model_srs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:713:64:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_srs_namespace::model_srs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {aka '__m128d'} [-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::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 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/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1, 1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1, 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<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 9 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<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 14 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<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
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<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 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/EigenBase.h:104:9:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:118:14:   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<double>::type' {aka '__m128d'} [-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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29:   [ skipping 14 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   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<double>::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::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21:   required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_srs_namespace::model_srs>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:115:20:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:503:41:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:111:20:   required from 'stan::math::arena_matrix<MatrixType>& stan::math::arena_matrix<MatrixType>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/vari.hpp:686:42:   required from 'stan::math::vari_value<T, typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::math::conjunction<std::is_same<typename std::decay<_Tp>::type, typename stan::plain_type<T, void>::type>, stan::is_eigen_dense_base<T> >::value, void>::type = void; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type = std::decay<Eigen::Matrix<double, -1, -1> >::type]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/var.hpp:367:26:   required from 'stan::math::var_value<T, typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; stan::require_assignable_t<T, S>* <anonymous> = 0; T = Eigen::Matrix<double, -1, -1>; typename std::enable_if<std::integral_constant<bool, (stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value)>::value, void>::type = void]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21:   required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value<Eigen::Matrix<double, -1, -1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:26:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
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/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 15 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::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::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -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<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 13 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<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
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:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; Derived = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27:   required from 'stan::ref_type_t<T&&> stan::math::to_ref(T&&) [with T = const Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >&; stan::ref_type_t<T&&> = Eigen::Matrix<double, -1, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29:   required from 'Eigen::Matrix<typename stan::value_type<T>::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0> >; stan::require_eigen_vt<std::is_arithmetic, EigMat>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20:   required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>; stan::require_eigen_t<T_desired>* <anonymous> = 0]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::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<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; 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<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:26:   required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_srs_namespace::model_srs, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = model_srs_namespace::model_srs; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_srs_namespace::model_srs]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:624:37:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1201:18:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:15:87:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
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:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:65:11:   required from 'stan::math::arena_matrix<MatrixType>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<double, -1, -1>; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <anonymous> = 0; stan::require_any_st_var<T1, T2>* <anonymous> = 0; stan::require_return_type_t<stan::is_var, T1, T2>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
stanExports_srs.h:402:56:   required from 'T__ model_srs_namespace::model_srs::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_srs_namespace::model_srs; std::ostream = std::basic_ostream<char>]'
D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1169:49:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_srs_namespace::model_srs; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
stanExports_srs.cc:23:88:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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 20 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 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/Eigenvalues/Tridiagonalization.h:449:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvalues_sym.hpp:46:54:   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<double>::type' {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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 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<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 22 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 31 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 29 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 28 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::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::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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 33 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -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<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 27 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<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 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<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/stan/math/rev/fun/eigenvectors_sym.hpp:75:77:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_srs_namespace::model_srs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   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<double>::type' {aka '__m128d'} [-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<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_srs_namespace::model_srs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_srs_namespace::model_srs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_srs_namespace::model_srs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::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<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; 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<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_srs_namespace::model_srs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_srs_namespace::model_srs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {aka '__m128d'} [-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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 14 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_srs_namespace::model_srs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 17 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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_srs_namespace::model_srs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {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<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -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<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_srs_namespace::model_srs; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
D:/RCompile/CRANpkg/lib/4.4/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10:   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<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: warning: 'result' may be used uninitialized [-Wmaybe-uninitialized]
  225 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  226 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  227 |       (
      |       ^
  228 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  230 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |       );
      |       ~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:39:24: note: by argument 4 of type 'const double*' to 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' declared here
   39 | EIGEN_DONT_INLINE void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Version>::run(
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -shared -s -static-libgcc -o beanz.dll tmp.def RcppExports.o stanExports_bs.o stanExports_ds.o stanExports_eds.o stanExports_fs.o stanExports_nse.o stanExports_sr.o stanExports_srs.o -LD:/RCompile/CRANpkg/lib/4.4/RcppParallel/lib/x64 -ltbb -ltbbmalloc -LD:/RCompile/CRANpkg/lib/4.4/RcppParallel/lib/x64 -Wl,-rpath,D:/RCompile/CRANpkg/lib/4.4/RcppParallel/lib/x64 -ltbb -ltbbmalloc -Ld:/rtools43/x86_64-w64-mingw32.static.posix/lib/x64 -Ld:/rtools43/x86_64-w64-mingw32.static.posix/lib -LD:/RCompile/recent/R/bin/x64 -lR
installing to d:/RCompile/CRANincoming/R-devel/lib/00LOCK-beanz/00new/beanz/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
** installing vignettes
** 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 (beanz)